Shoji Kodama

3.5k citations
40 papers · 2.6k indexed · 2 hit papers · h-index 20
Topics
Ovarian cancer diagnosis and treatment (20 papers)Endometrial and Cervical Cancer Treatments (12 papers)Cervical Cancer and HPV Research (9 papers)

In The Last Decade

Shoji Kodama

40 papers receiving 2.5k citations

Hit Papers

Dose-dense paclitaxel once a week in combination with car...200920262014202020092013100200300400500

Peers

Shoji Kodama
Comparison fields: 5 of 87
  • Reproductive Medicine 1.5k
  • Obstetrics and Gynecology 900
  • Oncology 806
  • Molecular Biology 474
  • Surgery 473
Replace Raji Ganesan with:
Raji Ganesan United Kingdom
Elisabetta Kuhn Italy
George J. Olt United States
Gabriella Parma Italy
Michael Teneriello United States
Stefan Kommoss Germany
Takako Kiyokawa Japan
Harrison Ball United States
Ruth Perets Israel
Kosei Hasegawa Japan
Shoji Kodama relative to Raji Ganesan United Kingdom Raji Ganesan's profile →
Citations per field
00.5×1.5×1.9×
Raji Ganesan · 1×
Citations per year

Countries citing papers authored by Shoji Kodama

Since Specialization
Citations

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

Fields of papers citing papers by Shoji Kodama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shoji Kodama

This figure shows the co-authorship network connecting the top 25 collaborators of Shoji Kodama. A scholar is included among the top collaborators of Shoji Kodama based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shoji Kodama. Shoji Kodama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 32
2 22
3 15
4
Dose-dense paclitaxel once a week in combination with carboplatin every 3 weeks for advanced ovarian cancer: a phase 3, open-label, randomised controlled trialbreakdown →
502
5 142
6 5
7 1
8 105
9 204
10 10
11 5
12 17
13 8
14
Primary Squamous Cell Carcinoma of the Endometrium : A Case Report
3
15 21
16 6
17 2
18 89
19 1
20 6

About Shoji Kodama

Shoji Kodama is a scholar working on Reproductive Medicine, Obstetrics and Gynecology and Epidemiology, having authored 40 papers that have together received 2.6k indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (20 papers), Endometrial and Cervical Cancer Treatments (12 papers) and Cervical Cancer and HPV Research (9 papers). The work is most often cited by research in Reproductive Medicine (1.5k citations), Obstetrics and Gynecology (900 citations) and Oncology (806 citations). Shoji Kodama has collaborated with scholars based in Japan, Malaysia and United Kingdom. Frequent co-authors include Kazunori Ochiai, Toru Sugiyama, Noriyuki Katsumata, Daisuke Aoki, Toshiko Jobo, Makoto Yasuda, Seiji Isonishi, Eizo Kimura, Fumiaki Takahashi and Kenichi Tanaka. Their work appears in journals such as The Lancet, Journal of Clinical Oncology and PLoS ONE.

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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