Michael Jahn

1.3k citations
34 papers · 894 · h-index 11

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 detection and testing
  • Nephrology top 5%
    • Acute Kidney Injury Research

Papers in

Michael Jahn

30 papers receiving 880 citations

Peers

Michael Jahn
Comparison fields: 5 of 71
  • Infectious Diseases 445
  • Nephrology 140
  • Modeling and Simulation 71
  • Obstetrics and Gynecology 58
  • Critical Care and Intensive Care Medicine 27
Replace Sarah McNab with:
Sarah McNab Australia
Olivia F. Krol United States
Qalab Abbas Pakistan
Metin Karaböcüoğlu Türkiye
Mylène Maillet France
Mergan Naidoo South Africa
Eirik Alnes Buanes Norway
Marcelo Barciela Brandão Brazil
Akhil Kant Singh India
Tiago Henrique de Souza Brazil
Michael Jahn relative to Sarah McNab Australia Sarah McNab's profile →
Citations per field
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Sarah McNab · 1×
Citations per year

Countries citing papers authored by Michael Jahn

Since Specialization
Citations

This map shows the geographic impact of Michael Jahn's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Michael Jahn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Jahn more than expected).

Fields of papers citing papers by Michael Jahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Jahn. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Michael Jahn. The network helps show where Michael Jahn may publish in the future.

Co-authors

The 25 scholars most cited alongside Michael Jahn, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael Jahn Line = papers co-authored together Michael Jahn links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020258
2 2020208
3 2021125
4 202177
5 202153
6 201725
7 202123
8 201917
9 202112
10 202112
11 202111
12 201211
13 202311
14 20227
15 20156
16 20226
17 20186
18 20216
19 20203
20 19943

About Michael Jahn

Michael Jahn is a scholar working on Infectious Diseases, Nephrology, Health, Obstetrics and Gynecology and Orthopedics and Sports Medicine, having authored 34 papers that have together received 894 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (9 papers), COVID-19 Clinical Research Studies (8 papers), Acute Kidney Injury Research (5 papers), Vaccine Coverage and Hesitancy (4 papers), Mobile Health and mHealth Applications (2 papers), Muscle and Compartmental Disorders (2 papers), Sepsis Diagnosis and Treatment (2 papers) and Animal Virus Infections Studies (2 papers). The work is most often cited by research in Infectious Diseases (445 citations), Nephrology (140 citations), Modeling and Simulation (71 citations), Obstetrics and Gynecology (58 citations) and Critical Care and Intensive Care Medicine (27 citations). Michael Jahn has collaborated with scholars based in Germany, Israel and United States. Frequent co-authors include Andreas Kribben, Johannes Korth, Olympia Evdoxia Anastasiou, Benjamin Wilde, Oliver Witzke, Sebastian Dolff, Ulf Dittmer, Adalbert Krawczyk, Anke Herrmann and Sebastian Cordes. Their work appears in journals such as PLoS ONE, Vaccines, Journal of Clinical Medicine, Journal of Biomechanics and Nature Reviews Nephrology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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