Akira Kambegawa

2.0k total citations
95 papers, 1.6k citations indexed

About

Akira Kambegawa is a scholar working on Molecular Biology, Genetics and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Akira Kambegawa has authored 95 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 18 papers in Genetics and 17 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Akira Kambegawa's work include Hormonal and reproductive studies (14 papers), Reproductive biology and impacts on aquatic species (13 papers) and Aquaculture Nutrition and Growth (12 papers). Akira Kambegawa is often cited by papers focused on Hormonal and reproductive studies (14 papers), Reproductive biology and impacts on aquatic species (13 papers) and Aquaculture Nutrition and Growth (12 papers). Akira Kambegawa collaborates with scholars based in Japan, United States and India. Akira Kambegawa's co-authors include Yoshitaka Nagahama, Hiroshi Ueda, Laurence W. Crim, Graham Young, Nobuo Suzuki, Kiyoshi Asahina, Hirohiko Kagawa, Akira Suzuki, Atsuhiko Hattori and Yuichi Sasayama and has published in prestigious journals such as Analytical Chemistry, The Journal of Clinical Endocrinology & Metabolism and Endocrinology.

In The Last Decade

Akira Kambegawa

91 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Akira Kambegawa Japan 21 677 503 451 269 255 95 1.6k
Mariann Rand‐Weaver United Kingdom 26 802 1.2× 419 0.8× 684 1.5× 190 0.7× 271 1.1× 47 2.1k
Mercedes Blázquez Spain 29 1.0k 1.5× 955 1.9× 456 1.0× 198 0.7× 408 1.6× 51 2.2k
J. P. Sumpter United Kingdom 19 674 1.0× 442 0.9× 476 1.1× 160 0.6× 176 0.7× 25 1.9k
Gilberto Mosconi Italy 28 847 1.3× 426 0.8× 651 1.4× 236 0.9× 204 0.8× 125 2.3k
Jon T. Dickey United States 15 619 0.9× 455 0.9× 413 0.9× 197 0.7× 79 0.3× 22 1.2k
Pascal Sourdaine France 24 344 0.5× 675 1.3× 325 0.7× 226 0.8× 438 1.7× 53 1.7k
Christèle Lethimonier France 20 582 0.9× 582 1.2× 329 0.7× 492 1.8× 245 1.0× 32 2.1k
Maurice Loir France 29 1.0k 1.5× 962 1.9× 541 1.2× 1.0k 3.8× 493 1.9× 77 2.3k
B. Truscott Canada 24 747 1.1× 231 0.5× 558 1.2× 120 0.4× 79 0.3× 53 1.3k
Florence Le Gac France 31 1.8k 2.6× 1.4k 2.8× 923 2.0× 736 2.7× 330 1.3× 65 2.9k

Countries citing papers authored by Akira Kambegawa

Since Specialization
Citations

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

Fields of papers citing papers by Akira Kambegawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akira Kambegawa

This figure shows the co-authorship network connecting the top 25 collaborators of Akira Kambegawa. A scholar is included among the top collaborators of Akira Kambegawa 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 Akira Kambegawa. Akira Kambegawa 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
1.
Horie, Hitoshi, et al.. (2006). Specificity assessment of immunoassay kits for determination of urinary free cortisol concentrations. Clinica Chimica Acta. 378(1-2). 66–70. 31 indexed citations
2.
Suzuki, Nobuo, M. Tabata, Akira Kambegawa, et al.. (2005). Tributyltin inhibits osteoblastic activity and disrupts calcium metabolism through an increase in plasma calcium and calcitonin levels in teleosts. Life Sciences. 78(21). 2533–2541. 32 indexed citations
3.
Okuyama, Mitsunobu, Norihiro Kobayashi, Takako Anjo, et al.. (2004). Enzyme-Linked Immunosorbent Assay for Monitoring Toxic Dioxin Congeners in Milk Based on a Newly Generated Monoclonal Anti-Dioxin Antibody. Analytical Chemistry. 76(7). 1948–1956. 19 indexed citations
4.
5.
Suzuki, Nobuo, et al.. (1999). Plasma Calcium and Calcitonin Levels in Eels Fed a High Calcium Solution or Transferred to Seawater. General and Comparative Endocrinology. 114(3). 324–329. 28 indexed citations
6.
7.
Yamamoto, Tatsuo, et al.. (1991). ANTI SSDNA AND DSDNA ANTIBODY IN PREECLAMPSIA. 5. 185–188. 1 indexed citations
8.
Sasayama, Yuichi, et al.. (1991). Calcitonin-like Immunoreactivity in the Brockmann Bodies of the Medaka(Teleostei).. NIPPON SUISAN GAKKAISHI. 57(5). 851–855.
9.
Sasayama, Yuichi, Takashi Koizumi, Chitaru Oguro, Akira Kambegawa, & Hideki Yoshizawa. (1991). Calcitonin-immunoreactive cells are present in the brains of some cyclostomes. General and Comparative Endocrinology. 84(2). 284–290. 8 indexed citations
10.
Sasayama, Yuichi, Kouhei Matsuda, Chitaru Oguro, & Akira Kambegawa. (1989). Immunohistochemical Study of the Ultimobranchial Gland in Chum Salmon Fry : COMMUNICATION : Endocrinology. ZOOLOGICAL SCIENCE. 6(3). 607–610. 7 indexed citations
11.
Matsuda, Kouhei, Yuichi Sasayama, Chitaru Oguro, & Akira Kambegawa. (1989). Calcitonin-Immunoreactive Cells found in the Extra-Ultimobranchial Areas of the Salamander, Hynobius nigrescens, during Larval Development : COMMUNICATION : Endocrinology. ZOOLOGICAL SCIENCE. 6(3). 611–614. 1 indexed citations
12.
Kambegawa, Akira, et al.. (1987). A sensitive bridge heterologous enzyme immunoassay of progesterone using geometrical isomers. Journal of Steroid Biochemistry. 28(1). 83–88. 28 indexed citations
13.
Sasayama, Yuichi, Chitaru Oguro, Ryogo Yui, & Akira Kambegawa. (1984). Immunohistochemical Demonstration of Calcitonin in Ultimobranchial Glands of Some Lower Vertebrates(Endocrinology). ZOOLOGICAL SCIENCE. 1(5). 755–758. 14 indexed citations
14.
Young, Graham, Laurence W. Crim, Hirohiko Kagawa, Akira Kambegawa, & Yoshitaka Nagahama. (1983). Plasma 17α,20β-dihydroxy-4-pregnen-3-one levels during sexual maturation of amago salmon (Oncorhynchus rhodurus): Correlation with plasma gonadotropin and in vitro production by ovarian follicles. General and Comparative Endocrinology. 51(1). 96–105. 146 indexed citations
15.
Tezuka, Tadashi, et al.. (1983). A Simple Method for Radioimmunoassay of Total Estrogen in Urine. Folia Endocrinologica Japonica. 59(1). 10–19. 5 indexed citations
16.
Honma, Seijiro, et al.. (1979). The Effects of Anti-androgenic Agents on Metabolism of Testosterone. Folia Endocrinologica Japonica. 55(6). 805–816. 1 indexed citations
17.
Sano, Y, Toshiro Yamamoto, Akira Kambegawa, et al.. (1978). A radioimmunoassay of serum 16.ALPHA.-hydroxypregnenolone with specific antiserum.. Endocrinologia Japonica. 25(2). 185–189. 4 indexed citations
18.
Mori, Takahide, et al.. (1978). Functional and Structural Relationships in Steroidogenesisin Vitroby Human Ovarian Follicles during Maturation and Ovulation*. The Journal of Clinical Endocrinology & Metabolism. 47(5). 955–966. 10 indexed citations
19.
Kambegawa, Akira, et al.. (1978). A radioimmunoassay of plasma 18-hydroxy-11-deoxycorticosterone.. Endocrinologia Japonica. 25(2). 171–175. 7 indexed citations
20.
SATO, Kunitada, et al.. (1975). Die schnelle kolorimetrische bestimmung der ostrogenen hormone bei trachtigen stuten. 9(2). 249–256. 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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