Michael Schwabe

2.1k citations
67 papers · 1.5k · h-index 19

Impact in

Papers in

Michael Schwabe

63 papers receiving 1.4k citations

Peers

Michael Schwabe
Comparison fields: 5 of 104
  • Hepatology 131
  • Molecular Medicine 59
  • Oncology 299
  • Cancer Research 160
  • Otorhinolaryngology 42
Replace Jim Jinn‐Chyuan Sheu with:
Jim Jinn‐Chyuan Sheu Taiwan
Shaoyan Xu China
Georgia Schäfer South Africa
Choon Kiat Ong Singapore
Tingting Liu China
Chaisiri Wongkham Thailand
Chia‐Huei Lee Taiwan
Xiong Liu China
Steve Oghumu United States
Binbin Li China
Michael Schwabe relative to Jim Jinn‐Chyuan Sheu Taiwan Jim Jinn‐Chyuan Sheu's profile →
Citations per field
00.5×3.7×
Jim Jinn‐Chyuan Sheu · 1×
Citations per year

Countries citing papers authored by Michael Schwabe

Since Specialization
Citations

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

Fields of papers citing papers by Michael Schwabe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009212
2 2011165
3 2002163
4 2005108
5 200383
6 200257
7 199257
8 199456
9 199450
10 199446
11 199646
12 201128
13 202227
14 200423
15 200723
16 200821
17 200720
18 199720
19 199019
20 198818

About Michael Schwabe

Michael Schwabe is a scholar working on Oncology, Molecular Biology, Immunology, Molecular Medicine and Surgery, having authored 67 papers that have together received 1.5k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (10 papers), Cytokine Signaling Pathways and Interactions (8 papers), Immune Response and Inflammation (6 papers), Immune Cell Function and Interaction (6 papers), Helicobacter pylori-related gastroenterology studies (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), HER2/EGFR in Cancer Research (3 papers) and Enzyme Structure and Function (3 papers). The work is most often cited by research in Hepatology (131 citations), Molecular Medicine (59 citations), Oncology (299 citations), Cancer Research (160 citations) and Otorhinolaryngology (42 citations). Michael Schwabe has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Carsten Denkert, H. Bergner, Annette Simon, Rabih Chaoui, Steffen Hauptmann, P. Neuhaus, Johan Friso Lock, Stefan M. Niehues, Martin Stockmann and Karsten Heyne. Their work appears in journals such as The FASEB Journal, Blood, Microbiology Spectrum, Frontiers in Microbiology and Journal of Biological Chemistry.

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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