Jan M. Schwab

11.6k total citations · 2 hit papers
125 papers, 7.9k citations indexed

About

Jan M. Schwab is a scholar working on Pathology and Forensic Medicine, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Jan M. Schwab has authored 125 papers receiving a total of 7.9k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Pathology and Forensic Medicine, 30 papers in Cellular and Molecular Neuroscience and 22 papers in Molecular Biology. Recurrent topics in Jan M. Schwab's work include Spinal Cord Injury Research (60 papers), Nerve injury and regeneration (23 papers) and Neuroinflammation and Neurodegeneration Mechanisms (12 papers). Jan M. Schwab is often cited by papers focused on Spinal Cord Injury Research (60 papers), Nerve injury and regeneration (23 papers) and Neuroinflammation and Neurodegeneration Mechanisms (12 papers). Jan M. Schwab collaborates with scholars based in Germany, United States and France. Jan M. Schwab's co-authors include Hermann J. Schluesener, Charles N. Serhan, Nan Chiang, Makoto Arita, Ulrich Dirnagl, Marcel A. Kopp, Richard Meyermann, Andreas Meisel, Christian Meisel and Benedikt Brommer and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and The Lancet.

In The Last Decade

Jan M. Schwab

119 papers receiving 7.7k citations

Hit Papers

Resolvin E1 and protectin D1 activate inflammation-resolu... 2005 2026 2012 2019 2007 2005 250 500 750

Peers

Jan M. Schwab
Comparison fields: 5 of 143
  • Pathology and Forensic Medicine 2.3k
  • Molecular Biology 1.9k
  • Cellular and Molecular Neuroscience 1.7k
  • Neurology 1.3k
  • Immunology 1.2k
Replace Nikolaos Grigoriadis with:
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Nikolaos Grigoriadis Greece View profile →
Citations per field, relative to Jan M. Schwab
Jan M. Schwab · 1×
Citations per year, relative to Jan M. Schwab
Jan M. Schwab · 1×

Countries citing papers authored by Jan M. Schwab

Since Specialization
Citations

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

Fields of papers citing papers by Jan M. Schwab

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jan M. Schwab. 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 Jan M. Schwab. The network helps show where Jan M. Schwab may publish in the future.

Co-authorship network of co-authors of Jan M. Schwab

This figure shows the co-authorship network connecting the top 25 collaborators of Jan M. Schwab. A scholar is included among the top collaborators of Jan M. Schwab based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jan M. Schwab. Jan M. Schwab is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 0
4 10
5 5
6 4
7 32
8 26
9 11
10 17
11 39
12 17
13 25
14 198
15 288
16 88
17 38
18 178
19 57
20 327

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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