Jan Baumann

24 papers receiving 623 citations

Peers

Jan Baumann
Comparison fields: 5 of 84
  • Agronomy and Crop Science 124
  • Epidemiology 289
  • Infectious Diseases 132
  • Immunology 92
  • Cancer Research 60
Replace Tiago J. S. Lopes with:
Tiago J. S. Lopes Japan
Yu Qiu China
Catalin Lazar Romania
Haruka Momose Japan
Lianzhong Zhao China
Chuan-Tien Hung United States
Yun-Sook Lim South Korea
N. Tzarum United States
Maren de Vries United States
Tomomi Ando Japan
Jan Baumann relative to Tiago J. S. Lopes Japan Tiago J. S. Lopes's profile →
Citations per field
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Tiago J. S. Lopes · 1×
Citations per year

Countries citing papers authored by Jan Baumann

Since Specialization
Citations

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

Fields of papers citing papers by Jan Baumann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014227
2 201370
3 201062
4 201737
5 201637
6 201728
7 201527
8 201525
9 201221
10 201914
11 201712
12 202112
13 201812
14
Bringing Developers and Users Closer Together: The OpenProposal Story.
200811
15 20198
16 20217
17 20206
18 20156
19
[Comparative evaluation of serum acid phosphatases, conventional x-ray diagnosis, bone biopsy and Sr 85-bone scanning in the diagnosis of osseous metastases in cancer of the prostate].
19715
20 20222

About Jan Baumann

Jan Baumann is a scholar working on Epidemiology, Molecular Biology, Infectious Diseases, Cancer Research and Oncology, having authored 24 papers that have together received 634 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (4 papers), Respiratory viral infections research (4 papers), Cancer, Lipids, and Metabolism (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Cellular transport and secretion (2 papers), Lipid metabolism and biosynthesis (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Animal Disease Management and Epidemiology (2 papers). The work is most often cited by research in Agronomy and Crop Science (124 citations), Epidemiology (289 citations), Infectious Diseases (132 citations), Immunology (92 citations) and Cancer Research (60 citations). Jan Baumann has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Douglas S. Conklin, Mikhail Matrosovich, Christopher J. Sevinsky, Chae Gyu Park, Nicholas J. Mantis, Sander Herfst, Ron A. M. Fouchier, Eefje J. A. Schrauwen, Sander van Boheemen and Pascal Lexmond. Their work appears in journals such as Journal of Virology, Molecular Biology of the Cell, International Journal of Environmental Research and Public Health, Frontiers in Public Health and Oncotarget.

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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