Bertram Flehmig

3.3k citations
103 papers · 2.8k · h-index 31

Impact in

Papers in

Bertram Flehmig

95 papers receiving 2.4k citations

Peers

Bertram Flehmig
Comparison fields: 5 of 70
  • Hepatology 1.2k
  • Endocrine and Autonomic Systems 63
  • Epidemiology 361
  • Biotechnology 42
  • Immunology 125
Replace Masaharu Takahashi with:
Masaharu Takahashi Japan
Valérie Moal France
Yasuo Moritsugu Japan
Kazuo Shiraki Japan
Atsuko Totsuka Japan
Marcelo Alves Pinto Brazil
Leonidas Christou Greece
Nancy P. Lam United States
Joseph S. Haynes United States
Sílvia Colombo Italy
Bertram Flehmig relative to Masaharu Takahashi Japan Masaharu Takahashi's profile →
Citations per field
00.5×20×40×63×
Masaharu Takahashi · 1×
Citations per year

Countries citing papers authored by Bertram Flehmig

Since Specialization
Citations

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

Fields of papers citing papers by Bertram Flehmig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 103 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1981143
2 1989109
3 198094
4 198492
5 197991
6 198687
7 198984
8 198982
9 198081
10 197979
11 199474
12 197773
13 198966
14 199363
15
Public health control of hepatitis A: memorandum from a WHO meeting.
199563
16 202159
17 198851
18 199349
19 198147
20 199447

About Bertram Flehmig

Bertram Flehmig is a scholar working on Hepatology, Endocrine and Autonomic Systems, Epidemiology, Immunology and Infectious Diseases, having authored 103 papers that have together received 2.8k indexed citations. Recurring topics across this work include Hepatitis Viruses Studies and Epidemiology (49 papers), Hepatitis B Virus Studies (7 papers), Hepatitis C virus research (6 papers), Influenza Virus Research Studies (5 papers), Circadian rhythm and melatonin (4 papers), Regulation of Appetite and Obesity (4 papers), interferon and immune responses (4 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). The work is most often cited by research in Hepatology (1.2k citations), Endocrine and Autonomic Systems (63 citations), Epidemiology (361 citations), Biotechnology (42 citations) and Immunology (125 citations). Bertram Flehmig has collaborated with scholars based in Germany, United States and Poland. Frequent co-authors include Angelika Vallbracht, Andrea Normann, Judith Graff, H. -J. Gerth, Michael B. Ranke, Katharina Maier, HERBERT E. SCHMITZ, York‐Dieter Stierhof, J�rn Treuner and DIETRICH NIETHAMMER. Their work appears in journals such as Journal of Medical Virology, Medical Microbiology and Immunology, Journal of General Virology, The Lancet and The Journal of Infectious Diseases.

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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