Gen Kawa

754 citations
62 papers · 549 indexed · h-index 12

Impact in

Papers in

Gen Kawa

56 papers receiving 534 citations

Peers

Gen Kawa
Comparison fields: 5 of 71
  • Urology 67
  • Endocrinology, Diabetes and Metabolism 152
  • Surgery 341
  • Pulmonary and Respiratory Medicine 152
  • Transplantation 9
Replace Lísias Nogueira Castilho with:
Lísias Nogueira Castilho Brazil
Marvin W. Woodruff United States
Jovan Hadži-Djokić Serbia
Nima Memaran Germany
Taro Kubo Japan
Hilary A. Rolton United Kingdom
Nick Topley United Kingdom
Yanyan He China
A. Collado Spain
Giampaolo Bianchi Italy
Gen Kawa relative to Lísias Nogueira Castilho Brazil Lísias Nogueira Castilho's profile →
Citations per field
00.5×6.3×
Lísias Nogueira Castilho · 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
#Work
1 202013
2 201913
3 20171
4 20168
5 201611
6 201625
7 20167
8 201519
9 20147
10 20124
11 201232
12 20108
13 200963
14 20089
15
20040
16 20049
17 20005
18 199910
19 19982
20
[Comparison of side effects caused by intra-arterial and intravenous infusion of M-VAC (methotrexate, vinblastine, adriamycin and cisplatin) for urothelial cancer].
19975

About Gen Kawa

Gen Kawa is a scholar working on Urology, Transplantation, Pulmonary and Respiratory Medicine, Endocrinology, Diabetes and Metabolism and Surgery, having authored 62 papers that have together received 549 indexed citations. Recurring topics across this work include Bladder and Urothelial Cancer Treatments (14 papers), Renal cell carcinoma treatment (12 papers), Urinary and Genital Oncology Studies (9 papers), Hormonal and reproductive studies (7 papers), Pediatric Urology and Nephrology Studies (6 papers), Urological Disorders and Treatments (6 papers), Renal and Vascular Pathologies (6 papers) and Organ Donation and Transplantation (5 papers). The work is most often cited by research in Urology (67 citations), Endocrinology, Diabetes and Metabolism (152 citations), Surgery (341 citations), Pulmonary and Respiratory Medicine (152 citations) and Transplantation (9 citations). Gen Kawa has collaborated with scholars based in Japan. Frequent co-authors include Tadashi Matsuda, Hidefumi Kinoshita, Masaaki Yanishi, Takaaki Inoue, Yoshihiro Komai, Takashi Yoshida, Hisanori Taniguchi, Takashi Murota, Kenji Yoshida and Tetsuya Tagami. Their work appears in journals such as International Journal of Urology, Journal of Endourology, Clinical Genitourinary Cancer, The Journal of Sexual Medicine and The Journal of Urology.

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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