Melanie Werner

896 citations
34 papers · 614 · h-index 14

Impact in

  • Hepatology top 5%
    • Hepatitis C virus research
    • Liver physiology and pathology
    • Hepatitis Viruses Studies and Epidemiology
  • Epidemiology top 10%
    • Hepatitis B Virus Studies
    • Liver Disease Diagnosis and Treatment

Papers in

Melanie Werner

32 papers receiving 599 citations

Peers

Melanie Werner
Comparison fields: 5 of 72
  • Hepatology 170
  • Epidemiology 244
  • Immunology 125
  • Infectious Diseases 103
  • Applied Microbiology and Biotechnology 6
Replace Kazunori Sugi with:
Kazunori Sugi Japan
Hossain M. Golbar Japan
Vahdat Poortahmasebi Iran
Junji Washizu Japan
Lev Lichtenstein Israel
Jingtong Zheng China
Romina Scian Argentina
Teresa M. Lee United States
Sharada Ravikumar Singapore
Melanie Werner relative to Kazunori Sugi Japan Kazunori Sugi's profile →
Citations per field
00.5×
Kazunori Sugi · 1×
Citations per year

Countries citing papers authored by Melanie Werner

Since Specialization
Citations

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

Fields of papers citing papers by Melanie Werner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200588
2 201575
3 201563
4 202057
5 201840
6 202039
7 201633
8 199028
9 201723
10 202318
11 201717
12 200117
13 202115
14 202014
15 202311
16 201410
17 20139
18 20249
19 20248
20 20167

About Melanie Werner

Melanie Werner is a scholar working on Molecular Biology, Epidemiology, Hepatology, Infectious Diseases and Immunology, having authored 34 papers that have together received 614 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (7 papers), Gut microbiota and health (6 papers), Clostridium difficile and Clostridium perfringens research (6 papers), Hepatitis C virus research (5 papers), Liver Disease Diagnosis and Treatment (4 papers), Immune Cell Function and Interaction (4 papers), T-cell and B-cell Immunology (3 papers) and CAR-T cell therapy research (3 papers). The work is most often cited by research in Hepatology (170 citations), Epidemiology (244 citations), Immunology (125 citations), Infectious Diseases (103 citations) and Applied Microbiology and Biotechnology (6 citations). Melanie Werner has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Ruth Broering, Stefan Unterer, JF Schlaak, Mengji Lu, Jan S. Suchodolski, Guido Gerken, Andreas Paul, Xuan Huang, Katrin Hartmann and Dongliang Yang. Their work appears in journals such as Journal of Veterinary Internal Medicine, Frontiers in Veterinary Science, PLoS ONE, The Veterinary Journal and Biotechnology and Bioengineering.

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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