Gén Kobashi

8.9k citations
165 papers · 6.2k indexed · 2 hit papers · h-index 36

Impact in

Papers in

Gén Kobashi

164 papers receiving 6.0k citations

Hit Papers

Epidemiology of hypertensive disorders in pregnancy: prevalence, risk factors, predictors and prognosis 2016 · 373 citations
373200620262012201950010001.5k

Peers

Gén Kobashi
Comparison fields: 5 of 159
  • Genetics 1.5k
  • Obstetrics and Gynecology 739
  • Pulmonary and Respiratory Medicine 2.3k
  • Physiology 211
  • Oncology 1.1k
Replace Richard K. Severson with:
Richard K. Severson United States
Ruth A. Kleinerman United States
Christer Holmberg Finland
Beth A. Mueller United States
Michael Laffan United Kingdom
Flora E. van Leeuwen Netherlands
Ida Martinelli Italy
Andrew F. Olshan United States
Ellen T. Chang United States
Steven C. Hunt United States
Gén Kobashi relative to Richard K. Severson United States Richard K. Severson's profile →
Citations per field
00.5×7.8×
Richard K. Severson · 1×
Citations per year

Countries citing papers authored by Gén Kobashi

Since Specialization
Citations

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

Fields of papers citing papers by Gén Kobashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20235
3 20232
4 20235
5 202212
6 20225
7 20229
8 20217
9 202116
10 202122
11 202011
12 20209
13 201967
14 201922
15
A case-control study to detect genetic and acquired risk factors for pediatric inflammatory bowel disease
20141
16 20112
17 20111
18 200915
19 200414
20 200119

About Gén Kobashi

Gén Kobashi is a scholar working on Obstetrics and Gynecology, Physiology, Radiological and Ultrasound Technology, Emergency Medical Services and Sensory Systems, having authored 165 papers that have together received 6.2k indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (20 papers), Radioactive contamination and transfer (14 papers), Birth, Development, and Health (13 papers), Reproductive biology and impacts on aquatic species (10 papers), Blood Coagulation and Thrombosis Mechanisms (9 papers), Systemic Lupus Erythematosus Research (9 papers), Disaster Response and Management (8 papers) and Reproductive System and Pregnancy (8 papers). The work is most often cited by research in Genetics (1.5k citations), Obstetrics and Gynecology (739 citations), Pulmonary and Respiratory Medicine (2.3k citations), Physiology (211 citations) and Oncology (1.1k citations). Gén Kobashi has collaborated with scholars based in Japan, United States and India. Frequent co-authors include Mitsumasa Umesawa, Hiroki Shirato, Masao Tago, Saeko Hirota, Hidefumi Aoyama, Kazushige Hayakawa, T Inomata, Keiichi Nakagawa, Etsuo Kunieda and Tatsuya Toyoda. Their work appears in journals such as Journal of Epidemiology, Seminars in Thrombosis and Hemostasis, BMJ Open, Scientific Reports and International Journal of Environmental Research and Public Health.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026