Risa Kudo

556 citations
19 papers · 349 · h-index 9

Impact in

    • Cervical Cancer and HPV Research
    • Hepatitis B Virus Studies
  • Microbiology top 10%
    • Reproductive tract infections research

Papers in

    • Cervical Cancer and HPV Research 14
    • Hepatitis B Virus Studies 6
    • Multiple and Secondary Primary Cancers 1
    • Genital Health and Disease 5
    • Intraperitoneal and Appendiceal Malignancies 1

Risa Kudo

16 papers receiving 348 citations

Peers

Risa Kudo
Comparison fields: 5 of 87
  • Epidemiology 187
  • Microbiology 32
  • Health 19
  • Obstetrics and Gynecology 14
  • Water Science and Technology 27
Replace Lijun Li with:
Lijun Li China
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Jiechen Yin China
Roland Schindl Germany
Cuimei Chen China
Yumei Wu China
Shipra Sonkusare India
Mingjie Ding China
Quanzhong Ren China
Neil V. Jarvis South Africa
Risa Kudo relative to Lijun Li China Lijun Li's profile →
Citations per field
00.5×6.3×
Lijun Li · 1×
Citations per year

Countries citing papers authored by Risa Kudo

Since Specialization
Citations

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

Fields of papers citing papers by Risa Kudo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2004133
2 201853
3 201829
4 202125
5 202022
6 202120
7 202119
8 202211
9 20229
10 20208
11 20226
12 20215
13 20225
14 20222
15 20221
16 20131
17 20250
18 20250
19 20250

About Risa Kudo

Risa Kudo is a scholar working on Epidemiology, Surgery, Microbiology, Oncology and Immunology, having authored 19 papers that have together received 349 indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (14 papers), Hepatitis B Virus Studies (6 papers), Genital Health and Disease (5 papers), Reproductive tract infections research (4 papers), Intraperitoneal and Appendiceal Malignancies (1 paper), Multiple and Secondary Primary Cancers (1 paper), Endometrial and Cervical Cancer Treatments (1 paper) and Gynecological conditions and treatments (1 paper). The work is most often cited by research in Epidemiology (187 citations), Microbiology (32 citations), Health (19 citations), Obstetrics and Gynecology (14 citations) and Water Science and Technology (27 citations). Risa Kudo has collaborated with scholars based in Japan, United States and Singapore. Frequent co-authors include Sosuke Adachi, Manako Yamaguchi, Yutaka Ueda, Etsuko Miyagi, Masayuki Sekine, Takayuki Enomoto, Megumi Hara, Sharon J. B. Hanley, Noriko Usui and Kazuhiro Imai. Their work appears in journals such as Vaccines, Cancer Science, Papillomavirus Research, Journal of Medical Internet Research and The Journal of Infectious Diseases.

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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