Uta Naumann

910 citations
32 papers · 680 · h-index 12

Impact in

  • Hepatology top 1%
    • Hepatitis C virus research
    • Hepatitis Viruses Studies and Epidemiology
    • Liver Disease and Transplantation
    • Hepatitis B Virus Studies
    • Liver Disease Diagnosis and Treatment

Papers in

    • Hepatitis B Virus Studies 12
    • Liver Disease Diagnosis and Treatment 8
    • Hepatitis C virus research 20
    • Hepatitis Viruses Studies and Epidemiology 3

Uta Naumann

30 papers receiving 652 citations

Peers

Uta Naumann
Comparison fields: 5 of 57
  • Hepatology 575
  • Epidemiology 578
  • Transplantation 12
  • Virology 18
  • Infectious Diseases 70
Replace Giovanna Fattovich with:
Giovanna Fattovich Italy
E. Chiaberge Italy
Dessislava I. Dimitrova United States
Omar Galdame Argentina
Yoshitaka Etoh Japan
Barbara Langer Germany
Hoofnagle Jh United States
J.M. Sánchez‐Tapias Spain
L. Raffaele Italy
K Ohba Japan
Uta Naumann relative to Giovanna Fattovich Italy Giovanna Fattovich's profile →
Citations per field
00.5×10×13×
Giovanna Fattovich · 1×
Citations per year

Countries citing papers authored by Uta Naumann

Since Specialization
Citations

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

Fields of papers citing papers by Uta Naumann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998230
2 200065
3 200153
4 199653
5 199643
6 199730
7 200127
8 200126
9 200225
10 200114
11 201614
12 201413
13 202211
14 200011
15 200210
16 20188
17 19996
18 20166
19 19975
20 20005

About Uta Naumann

Uta Naumann is a scholar working on Epidemiology, Hepatology, Molecular Biology, Rheumatology and Infectious Diseases, having authored 32 papers that have together received 680 indexed citations. Recurring topics across this work include Hepatitis C virus research (20 papers), Hepatitis B Virus Studies (12 papers), Liver Disease Diagnosis and Treatment (8 papers), Systemic Lupus Erythematosus Research (6 papers), Renal and related cancers (5 papers), HIV/AIDS drug development and treatment (4 papers), Hepatitis Viruses Studies and Epidemiology (3 papers) and Organ Transplantation Techniques and Outcomes (3 papers). The work is most often cited by research in Hepatology (575 citations), Epidemiology (578 citations), Transplantation (12 citations), Virology (18 citations) and Infectious Diseases (70 citations). Uta Naumann has collaborated with scholars based in Germany, United Kingdom and Switzerland. Frequent co-authors include Thomas Berg, U. Hopf, P. Neuhaus, Ulrike Protzer, G Gerken, Karl-Hermann Meyer zum Büschenfelde, Ralf Bartenschlager, Wolf O. Bechstein, G Teuber and Stefan Zeuzem. Their work appears in journals such as Journal of Hepatology, Hepatology, Transplantation, International Journal of STD & AIDS and The International Journal of Developmental Biology.

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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