Michael Gernert

566 citations
36 papers · 325 · h-index 11

Impact in

Papers in

    • Spondyloarthritis Studies and Treatments 4
    • Rheumatoid Arthritis Research and Therapies 3
    • Immunodeficiency and Autoimmune Disorders 3
    • Mast cells and histamine 3
    • T-cell and B-cell Immunology 2

Michael Gernert

31 papers receiving 319 citations

Peers

Michael Gernert
Comparison fields: 5 of 57
  • Pathology and Forensic Medicine 91
  • Rheumatology 69
  • Immunology 83
  • Health Informatics 5
  • Genetics 32
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Citations per field
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Citations per year

Countries citing papers authored by Michael Gernert

Since Specialization
Citations

This map shows the geographic impact of Michael Gernert'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 Gernert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Gernert more than expected).

Fields of papers citing papers by Michael Gernert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Gernert. 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 Gernert. The network helps show where Michael Gernert may publish in the future.

Co-authors

The 25 scholars most cited alongside Michael Gernert, 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 Gernert Line = papers co-authored together Michael Gernert links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202077
2 201940
3 201826
4
Sexual function in German women with systemic sclerosis compared to women with systemic lupus erythematosus and evaluation of a screening test.
202015
5 202414
6 202214
7 202012
8 202111
9 199811
10 202111
11 202410
12 20229
13 20248
14 20218
15 20198
16 20236
17 20206
18 20245
19 20214
20 20214

About Michael Gernert

Michael Gernert is a scholar working on Rheumatology, Immunology, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine and Physiology, having authored 36 papers that have together received 325 indexed citations. Recurring topics across this work include Systemic Sclerosis and Related Diseases (7 papers), Spondyloarthritis Studies and Treatments (4 papers), Vasculitis and related conditions (3 papers), Immunodeficiency and Autoimmune Disorders (3 papers), Mast cells and histamine (3 papers), Rheumatoid Arthritis Research and Therapies (3 papers), Dermatologic Treatments and Research (2 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (91 citations), Rheumatology (69 citations), Immunology (83 citations), Health Informatics (5 citations) and Genetics (32 citations). Michael Gernert has collaborated with scholars based in Germany, United States and Estonia. Frequent co-authors include Marc Schmalzing, Hans‐Peter Tony, Eva C. Schwaneck, Matthias Fröhlich, Jörg Wischhusen, Patrick Meybohm, Christopher Lotz, Nicolas Schlegel, Dirk Weismann and Quirin Notz. Their work appears in journals such as Frontiers in Immunology, Arthritis Research & Therapy, Lara D. Veeken, Scandinavian Journal of Rheumatology and Lasers in Medical Science.

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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