Tanggis

445 citations
9 papers · 377 · h-index 8

Impact in

  • Hepatology top 5%
    • Hepatitis Viruses Studies and Epidemiology
    • Liver Disease and Transplantation
    • Hepatitis C virus research
    • Viral gastroenteritis research and epidemiology
    • Viral Infections and Vectors

Papers in

    • Hepatitis Viruses Studies and Epidemiology 9
    • Liver Disease and Transplantation 8
    • Hepatitis C virus research 1
    • Viral gastroenteritis research and epidemiology 8

Tanggis

9 papers receiving 373 citations

Peers

Tanggis
Comparison fields: 5 of 34
  • Hepatology 274
  • Infectious Diseases 251
  • Animal Science and Zoology 28
  • Small Animals 20
  • Epidemiology 56
Replace Rayan Farhat with:
Rayan Farhat France
Asuka Hirai-Yuki Japan
Raghavendra Sumanth Pudupakam United States
Abigail Fosdick United States
Bingfu Jiang Germany
Christopher Overend United States
Stéphanie B. N. Serre Denmark
Florence Herschke Belgium
Weiping Qin Japan
Margaret Robinson United States
Tanggis relative to Rayan Farhat France Rayan Farhat's profile →
Citations per field
00.5×3.1×
Rayan Farhat · 1×
Citations per year

Countries citing papers authored by Tanggis

Since Specialization
Citations

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

Fields of papers citing papers by Tanggis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Tanggis, 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 Tanggis Line = papers co-authored together Tanggis links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2014170
2 201371
3 201442
4 201239
5 201820
6 201615
7 20169
8 20168
9 20173

About Tanggis

Tanggis is a scholar working on Hepatology, Infectious Diseases, Small Animals, Organic Chemistry and Surgery, having authored 9 papers that have together received 377 indexed citations. Recurring topics across this work include Hepatitis Viruses Studies and Epidemiology (9 papers), Viral gastroenteritis research and epidemiology (8 papers), Liver Disease and Transplantation (8 papers), Hepatitis C virus research (1 paper) and Veterinary medicine and infectious diseases (1 paper). The work is most often cited by research in Hepatology (274 citations), Infectious Diseases (251 citations), Animal Science and Zoology (28 citations), Small Animals (20 citations) and Epidemiology (56 citations). Tanggis has collaborated with scholars based in Japan, Indonesia and China. Frequent co-authors include Suljid Jirintai, Tsutomu Nishizawa, Masaharu Takahashi, Shigeo Nagashima, Tominari Kobayashi, Hiroaki Okamoto, Takashi Yashiro, Tom Kouki, Mulyanto Mulyanto and Satoshi Kunita. Their work appears in journals such as Virus Research, Archives of Virology, Journal of General Virology and Journal of Virological Methods.

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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