H Teshima

618 citations
49 papers · 485 indexed · h-index 11

Impact in

Papers in

H Teshima

41 papers receiving 469 citations

Peers

H Teshima
Comparison fields: 5 of 74
  • Obstetrics and Gynecology 85
  • Reproductive Medicine 89
  • Epidemiology 144
  • Oncology 97
  • Cancer Research 52
Replace Tatsuya Kanuma with:
Tatsuya Kanuma Japan
Suzette M. Svoboda-Newman United States
Hirofumi Nonogaki Japan
M L Cibull United States
Meral Koyuncuoğlu Türkiye
Sanna Oksjoki Finland
Christopher Di Simone United States
Tze-Chien Chen Taiwan
Sandra Kolkman-Uljee Netherlands
May M.Y. Yu Hong Kong
H Teshima relative to Tatsuya Kanuma Japan Tatsuya Kanuma's profile →
Citations per field
00.5×1.5×
Tatsuya Kanuma · 1×
Citations per year

Countries citing papers authored by H Teshima

Since Specialization
Citations

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

Fields of papers citing papers by H Teshima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 2006103
2 200535
3 19981
4 19971
5 19961
6 199610
7 19950
8 19958
9 199512
10 19942
11 199437
12 19911
13 19911
14 19901
15 19890
16 19896
17 19882
18
[Terminal care in patients with lung cancer].
19873
19
[Advanced gastric cancer with DIC and multiple bone metastasis treated with surgical resection and chemotherapy].
19871
20
Cytology of malignant melanoma arising in the cervix and the vagina : in comparison with the electron microscopic findings
19820

About H Teshima

H Teshima is a scholar working on Obstetrics and Gynecology, Reproductive Medicine, Filtration and Separation, Epidemiology and Animal Science and Zoology, having authored 49 papers that have together received 485 indexed citations. Recurring topics across this work include Endometrial and Cervical Cancer Treatments (12 papers), Ovarian cancer diagnosis and treatment (12 papers), Cervical Cancer and HPV Research (11 papers), Virus-based gene therapy research (3 papers), Gastric Cancer Management and Outcomes (3 papers), Metastasis and carcinoma case studies (3 papers), Sarcoma Diagnosis and Treatment (3 papers) and Uterine Myomas and Treatments (3 papers). The work is most often cited by research in Obstetrics and Gynecology (85 citations), Reproductive Medicine (89 citations), Epidemiology (144 citations), Oncology (97 citations) and Cancer Research (52 citations). H Teshima has collaborated with scholars based in Japan, France and Sweden. Frequent co-authors include Katsuhiko Hasumi, J Couturier, Martine Peter, François Radvanyi, Xavier Sastre‐Garau, Christophe Rosty, Susumu Nishimura, Nobuko Shindo‐Okada, Włodzimierz J. Krzyżosiak and Yasuo Hirai. Their work appears in journals such as Gynecologic Oncology, International Journal of Gynecology & Obstetrics, Archives of Gynecology and Obstetrics, Nucleic Acids Research and Proceedings of the National Academy of Sciences.

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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