Tomoko Date

5.5k citations
36 papers · 4.5k indexed · 1 hit paper · h-index 22

Tomoko Date

35 papers receiving 4.4k citations

Hit Papers

Production of infectious hepatitis C virus in tissue cult...2.3k200520262012201950010001.5k2.0k

Peers

Tomoko Date
Comparison fields: 5 of 81
  • Hepatology 3.9k
  • Virology 435
  • Epidemiology 3.1k
  • Radiology, Nuclear Medicine and Imaging 739
  • Animal Science and Zoology 318
Replace Michiko Miyamoto with:
Michiko Miyamoto Japan
T. Jake Liang United States
Susan L. Uprichard United States
Benno Wölk Germany
Timothy L. Tellinghuisen United States
Sharookh B. Kapadia United States
Keril J. Blight United States
MinKyung Yi United States
Keith Meyer United States
Jang H. Han United States
Tomoko Date relative to Michiko Miyamoto Japan Michiko Miyamoto's profile →
Citations per field
00.5×1.5×1.8×
Michiko Miyamoto · 1×
Citations per year

Countries citing papers authored by Tomoko Date

Since Specialization
Citations

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

Fields of papers citing papers by Tomoko Date

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20224
2 20206
3 20194
4 201311
5 201360
6 201240
7 201118
8 20109
9 201043
10 20107
11 20089
12 200721
13 200754
14 2006165
15 200542
16
Production of infectious hepatitis C virus in tissue culture from a cloned viral genomebreakdown →
20052258
17 200494
18 200330
19 2003474
20 2001194

About Tomoko Date

Tomoko Date is a scholar working on Hepatology, Epidemiology, Virology, Animal Science and Zoology and Radiology, Nuclear Medicine and Imaging, having authored 36 papers that have together received 4.5k indexed citations. Recurring topics across this work include Hepatitis C virus research (33 papers), Hepatitis B Virus Studies (28 papers), Liver Disease Diagnosis and Treatment (13 papers), Monoclonal and Polyclonal Antibodies Research (10 papers), Animal Virus Infections Studies (5 papers), HIV Research and Treatment (3 papers), Plant Virus Research Studies (2 papers) and Systemic Lupus Erythematosus Research (2 papers). The work is most often cited by research in Hepatology (3.9k citations), Virology (435 citations), Epidemiology (3.1k citations), Radiology, Nuclear Medicine and Imaging (739 citations) and Animal Science and Zoology (318 citations). Tomoko Date has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Takaji Wakita, Takanobu Kato, Michiko Miyamoto, Masashi Mizokami, Zijiang Zhao, T. Jake Liang, Thomas Pietschmann, Hans‐Georg Kräusslich, Krishna K. Murthy and Ralf Bartenschlager. Their work appears in journals such as Journal of Virology, Journal of Medical Virology, Biochemical and Biophysical Research Communications, Gastroenterology and Hepatology.

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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