K. Tanemura

770 total citations
9 papers, 593 citations indexed

About

K. Tanemura is a scholar working on Obstetrics and Gynecology, Epidemiology and Surgery. According to data from OpenAlex, K. Tanemura has authored 9 papers receiving a total of 593 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Obstetrics and Gynecology, 3 papers in Epidemiology and 2 papers in Surgery. Recurrent topics in K. Tanemura's work include Endometrial and Cervical Cancer Treatments (5 papers), Uterine Myomas and Treatments (2 papers) and Cervical Cancer and HPV Research (2 papers). K. Tanemura is often cited by papers focused on Endometrial and Cervical Cancer Treatments (5 papers), Uterine Myomas and Treatments (2 papers) and Cervical Cancer and HPV Research (2 papers). K. Tanemura collaborates with scholars based in Japan, United Kingdom and United States. K. Tanemura's co-authors include T Tange, Nobuyo Tsuboyama-Kasaoka, Michio Kasai, Harumi Okuyama, Mayumí Takáhashi, Osamu Ezaki, Shinji Ikemoto, K. Ohmi, T Sonoda and Koichi Nomura and has published in prestigious journals such as Diabetes, International Journal of Radiation Oncology*Biology*Physics and Acta Oncologica.

In The Last Decade

K. Tanemura

9 papers receiving 565 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
K. Tanemura Japan	6	365	186	181	164	109	9	593
Ingrid A. Martini Netherlands	12	374 1.0×	100 0.5×	116 0.6×	68 0.4×	46 0.4×	19	555
GM Wardlaw United States	8	254 0.7×	195 1.0×	59 0.3×	57 0.3×	119 1.1×	8	625
Janie Allaire Canada	11	310 0.8×	143 0.8×	67 0.4×	149 0.9×	108 1.0×	18	514
Ana Soria Spain	12	74 0.2×	138 0.7×	70 0.4×	31 0.2×	107 1.0×	21	390
John Tuckey New Zealand	8	128 0.4×	102 0.5×	133 0.7×	16 0.1×	46 0.4×	11	446
Simona Stan Canada	9	86 0.2×	83 0.4×	175 1.0×	37 0.2×	99 0.9×	11	415
B. Khalfoun France	11	190 0.5×	45 0.2×	86 0.5×	82 0.5×	114 1.0×	20	405
A. S. Fosbrooke United Kingdom	14	140 0.4×	122 0.7×	106 0.6×	35 0.2×	170 1.6×	26	558
Émilien Gauthier France	7	92 0.3×	74 0.4×	101 0.6×	14 0.1×	65 0.6×	9	488
T. Olivecrona Sweden	8	151 0.4×	93 0.5×	76 0.4×	41 0.3×	66 0.6×	24	408

Countries citing papers authored by K. Tanemura

Since Specialization

Citations

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

Fields of papers citing papers by K. Tanemura

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. Tanemura

This figure shows the co-authorship network connecting the top 25 collaborators of K. Tanemura. A scholar is included among the top collaborators of K. Tanemura 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 K. Tanemura. K. Tanemura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

1.

Tsuboyama-Kasaoka, Nobuyo, Mayumí Takáhashi, K. Tanemura, et al.. (2000). Conjugated linoleic acid supplementation reduces adipose tissue by apoptosis and develops lipodystrophy in mice.. Diabetes. 49(9). 1534–1542. 454 indexed citations

2.

Nakane, Y., Takashi Endo, Koji Kano, et al.. (1998). Results of a Qualitative and Field Study Using the WHOQOL Instrument for Cancer Patients. Japanese Journal of Clinical Oncology. 28(2). 134–141. 36 indexed citations

3.

Ikeda, S., Tomonori Yamada, K. Tanemura, et al.. (1998). Cerebral Metastasis in Patients with Uterine Cervical Cancer. Japanese Journal of Clinical Oncology. 28(1). 27–29. 50 indexed citations

4.

Tang, Xi, K. Tanemura, Weimin Ye, et al.. (1998). Clinicopathological Factors Predicting Retroperitoneal Lymph Node Metastasis and Survival in Endometrial Cancer. Japanese Journal of Clinical Oncology. 28(11). 673–678. 17 indexed citations

5.

Tsuda, Hiroshi, Takahiko Yamada, K. Tanemura, et al.. (1995). Frequent Occurrence of c-Ki-ras Gene Mutations in Well Differentiated Endometrial Adenocarcinoma Showing Infiltrative Local Growth with Fibrosing Stromal Response. International Journal of Gynecological Pathology. 14(3). 255–259. 17 indexed citations

6.

Akine, Yasuyuki, Hiroko Arimoto, Takashi Ogino, et al.. (1990). Carcinoma of the Uterine Cervix Treated by Irradiation Alone: Results of treatment at the National Cancer Center, Tokyo. Acta Oncologica. 29(6). 747–753. 5 indexed citations

7.

Kato, Mamoru, Shin‐ichi Teshima, Shaw Watanabe, et al.. (1988). The Increasing Trend in Japan of Müllerian Mixed Tumor of Endometrium. Japanese Journal of Clinical Oncology. 18(4). 303–8. 1 indexed citations

8.

Akine, Yasuyuki, Iwao Tsukiyama, Sunao Egawa, et al.. (1986). Carcinoma of the uterine cervix treated with external irradiation alone. International Journal of Radiation Oncology*Biology*Physics. 12(9). 1611–1616. 12 indexed citations

9.

Matsumoto, Y., et al.. (1983). [Intestinal operation in patients with ovarian carcinoma].. PubMed. 18(1). 5–12. 1 indexed citations

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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