Gen Kawa

759 citations
62 papers · 559 · h-index 12

Impact in

    • Hormonal Regulation and Hypertension
    • Adrenal Hormones and Disorders
    • Hormonal and reproductive studies
  • Surgery top 10%
    • Bladder and Urothelial Cancer Treatments
    • Adrenal and Paraganglionic Tumors
    • Urinary and Genital Oncology Studies

Papers in

Gen Kawa

56 papers receiving 546 citations

Peers

Gen Kawa
Comparison fields: 5 of 59
  • Endocrinology, Diabetes and Metabolism 138
  • Surgery 264
  • Urology 24
  • Pulmonary and Respiratory Medicine 98
  • Transplantation 7
Replace Krzysztof Tupikowski with:
Krzysztof Tupikowski Poland
Kyung Hwa Choi South Korea
Marvin W. Woodruff United States
Ryushi Shudo Japan
Oscar Selvaggio Italy
W. A. See United States
Franz Sesti Italy
Hilary A. Rolton United Kingdom
Robert Puckrin Canada
Takaharu Matsuda Japan
Gen Kawa relative to Krzysztof Tupikowski Poland Krzysztof Tupikowski's profile →
Citations per field
00.5×2.8×
Krzysztof Tupikowski · 1×
Citations per year

Countries citing papers authored by Gen Kawa

Since Specialization
Citations

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

Fields of papers citing papers by Gen Kawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013100
2 200963
3 201233
4 200226
5 201625
6 201021
7 201520
8 199417
9 201913
10 201013
11 202013
12 201612
13 201211
14 199910
15 200010
16 20169
17 20049
18 20089
19 20108
20 20108

About Gen Kawa

Gen Kawa is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Endocrinology, Diabetes and Metabolism, Rheumatology and Pediatrics, Perinatology and Child Health, having authored 62 papers that have together received 559 indexed citations. Recurring topics across this work include Bladder and Urothelial Cancer Treatments (12 papers), Renal cell carcinoma treatment (9 papers), Hormonal and reproductive studies (6 papers), Pediatric Urology and Nephrology Studies (5 papers), Urinary and Genital Oncology Studies (5 papers), Urologic and reproductive health conditions (4 papers), Renal and related cancers (4 papers) and Prostate Cancer Diagnosis and Treatment (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (138 citations), Surgery (264 citations), Urology (24 citations), Pulmonary and Respiratory Medicine (98 citations) and Transplantation (7 citations). Gen Kawa has collaborated with scholars based in Japan. Frequent co-authors include Tadashi Matsuda, Hidefumi Kinoshita, Masaaki Yanishi, Takaaki Inoue, Takashi Yoshida, Yoshihiro Komai, Hisanori Taniguchi, Kenji Yoshida, Akiyo Tanabe and Takuyuki Katabami. Their work appears in journals such as International Journal of Urology, Clinical Genitourinary Cancer, The Journal of Urology, Journal of Endourology and International Journal of Clinical Oncology.

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