Connection

Co-Authors

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This is a "connection" page, showing publications co-authored by Gernot Marx and Johannes Bickenbach.
Gernot Marx
Connection Strength
0.345
Johannes Bickenbach
  1. Machine learning identifies ICU outcome predictors in a multicenter COVID-19 cohort. Crit Care. 2021 Aug 17; 25(1):295.
    View in: PubMed
    Score: 0.060
  2. [Medical students as helpers in the pandemic : Innovative concept for recruitment, training and assignment planning of medical students as medical personnel during the COVID-19 pandemic]. Anaesthesist. 2022 01; 71(1):21-29.
    View in: PubMed
    Score: 0.060
  3. Early risk markers for severe clinical course and fatal outcome in German patients with COVID-19. PLoS One. 2021; 16(1):e0246182.
    View in: PubMed
    Score: 0.058
  4. Primary presentation of COVID-19 solely with gastrointestinal symptoms: a problem for the containment of the disease. Eur J Gastroenterol Hepatol. 2020 11; 32(11):1475-1478.
    View in: PubMed
    Score: 0.057
  5. Favorable COVID-19 course despite significant comorbidities in a ruxolitinib-treated patient with primary myelofibrosis. Eur J Haematol. 2020 Nov; 105(5):655-658.
    View in: PubMed
    Score: 0.056
  6. The Characteristics of 50 Hospitalized COVID-19 Patients With and Without ARDS. Dtsch Arztebl Int. 2020 04 17; 117(16):271-278.
    View in: PubMed
    Score: 0.055
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.