Eike Steinmann

18.2k citations
255 papers · 11.7k indexed · 6 hit papers · h-index 48

Eike Steinmann

242 papers receiving 11.4k citations

Hit Papers

Glycyrrhizin Effecti...139200620262012201950010001.5k2.0k2.5k

Peers

Eike Steinmann
Comparison fields: 5 of 197
  • General Dentistry 994
  • Hepatology 4.0k
  • Infectious Diseases 3.9k
  • Virology 491
  • Epidemiology 3.2k
Replace Daniel Tödt with:
Daniel Tödt Germany
Vincent Chi‐Chung Cheng China
Paul K.S. Chan Hong Kong
Giuseppe Ippolito Italy
Stephanie Pfaender Germany
Shan‐Chwen Chang Taiwan
Zhiwei Chen China
Bart L. Haagmans Netherlands
Patrick C. Y. Woo Hong Kong
Susanna K. P. Lau Hong Kong
Eike Steinmann relative to Daniel Tödt Germany Daniel Tödt's profile →
Citations per field
00.5×8.1×
Daniel Tödt · 1×
Citations per year

Countries citing papers authored by Eike Steinmann

Since Specialization
Citations

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

Fields of papers citing papers by Eike Steinmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20254
2 20251
3 202412
4 20243
5 20233
6 202317
7 202220
8 20227
9 202218
10 202212
11 202130
12 202118
13 202010
14 201920
15 201939
16 20196
17 20197
18 201823
19 201444
20
Construction and characterization of infectious intragenotypic and intergenotypic hepatitis C virus chimerasbreakdown →
2006588

About Eike Steinmann

Eike Steinmann is a scholar working on Hepatology, Infectious Diseases and General Dentistry, having authored 255 papers that have together received 11.7k indexed citations. Recurring topics across this work include Hepatitis C virus research (96 papers), Hepatitis B Virus Studies (69 papers), Hepatitis Viruses Studies and Epidemiology (60 papers), Viral gastroenteritis research and epidemiology (54 papers), Liver Disease and Transplantation (38 papers), Infection Control and Ventilation (27 papers), Liver Disease Diagnosis and Treatment (25 papers) and SARS-CoV-2 and COVID-19 Research (20 papers). The work is most often cited by research in General Dentistry (994 citations), Hepatology (4.0k citations) and Infectious Diseases (3.9k citations). Eike Steinmann has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Daniel Tödt, Stephanie Pfaender, Günter Kampf, Thomas Pietschmann, Thomas Pietschmann, Ralf Bartenschlager, Jörg Steinmann, Stephanie Kallis, Joerg Steinmann and Jan Buer. Their work appears in journals such as Viruses, Journal of Hospital Infection, The Journal of Infectious Diseases, Journal of Virology and Antiviral Research.

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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