S. YAMADA

502 total citations
12 papers, 414 citations indexed

About

S. YAMADA is a scholar working on Reproductive Medicine, Agronomy and Crop Science and Organic Chemistry. According to data from OpenAlex, S. YAMADA has authored 12 papers receiving a total of 414 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Reproductive Medicine, 3 papers in Agronomy and Crop Science and 2 papers in Organic Chemistry. Recurrent topics in S. YAMADA's work include Reproductive System and Pregnancy (2 papers), Reproductive Biology and Fertility (2 papers) and Ovarian function and disorders (2 papers). S. YAMADA is often cited by papers focused on Reproductive System and Pregnancy (2 papers), Reproductive Biology and Fertility (2 papers) and Ovarian function and disorders (2 papers). S. YAMADA collaborates with scholars based in Japan. S. YAMADA's co-authors include Yutaka Toyoda, Ken Naito, Naoya Kataoka, Hiroshi Fujiwara, M Maeda, Yasushi Kawano, Shinichi Oka, Wenrui Liu, Sakiko Fujii and Hiroshi Masutani and has published in prestigious journals such as The FASEB Journal, Human Reproduction and Biology of Reproduction.

In The Last Decade

S. YAMADA

11 papers receiving 395 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. YAMADA Japan 7 186 180 130 94 56 12 414
RJ Rodgers Australia 7 256 1.4× 158 0.9× 110 0.8× 53 0.6× 132 2.4× 9 451
Maud Caillaud France 11 274 1.5× 248 1.4× 76 0.6× 123 1.3× 126 2.3× 12 425
Raoul Lombroso France 12 231 1.2× 229 1.3× 76 0.6× 178 1.9× 40 0.7× 22 404
Fataneh Ghafari United Kingdom 8 190 1.0× 115 0.6× 118 0.9× 42 0.4× 32 0.6× 11 310
T. A. Molskness United States 14 352 1.9× 307 1.7× 171 1.3× 62 0.7× 112 2.0× 21 615
Noritaka Noma Japan 5 287 1.5× 207 1.1× 140 1.1× 156 1.7× 107 1.9× 7 462
Adriana M. Caille Argentina 11 242 1.3× 246 1.4× 60 0.5× 60 0.6× 30 0.5× 24 341
María José Munuce Argentina 17 455 2.4× 459 2.5× 94 0.7× 91 1.0× 38 0.7× 37 652
Rodrigo Camponogara Bohrer Brazil 14 228 1.2× 99 0.6× 124 1.0× 54 0.6× 119 2.1× 27 390
Anita Caveney Canada 9 439 2.4× 211 1.2× 290 2.2× 79 0.8× 83 1.5× 11 658

Countries citing papers authored by S. YAMADA

Since Specialization
Citations

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

Fields of papers citing papers by S. YAMADA

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. YAMADA

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

All Works

12 of 12 papers shown
1.
Oka, Shinichi, Wenrui Liu, Hiroshi Masutani, et al.. (2005). Impaired fatty acid utilization in thioredoxin binding protein‐2 (TBP‐2)‐deficient mice: a unique animal model of Reye syndrome. The FASEB Journal. 20(1). 121–123. 104 indexed citations
3.
YAMADA, S., Hiroshi Fujiwara, Mitsuyoshi Ueda, et al.. (1998). A monoclonal antibody, HCL-2, raised against human luteal cells reacts with apolipoprotein-B and detects the uptake of low density lipoprotein by luteinizing granulosa cells. Human Reproduction. 13(4). 936–943. 5 indexed citations
4.
YAMADA, S., Hiroshi Fujiwara, Naoya Kataoka, et al.. (1998). Stage-specific uptake of apolipoprotein-B in ovarian follicles and corpora lutea of the menstrual cycle and early pregnancy. Human Reproduction. 13(4). 944–952. 9 indexed citations
5.
Okamura, Hiroshi, Masashi Sakaguchi, Takashi Honda, et al.. (1994). Construction of Recombinant Infectious Laryngotracheitis Virus Expressing the LacZ Gene of E. coli with Thymidine Kinase Gene.. Journal of Veterinary Medical Science. 56(4). 799–801. 13 indexed citations
6.
YAMADA, S., et al.. (1993). In vitro maturation and fertilization of preovulatory dog oocytes.. PubMed. 47. 227–9. 79 indexed citations
7.
YAMADA, S., et al.. (1992). Maturation, Fertilization, and Development of Dog Oocytes in Vitro1. Biology of Reproduction. 46(5). 853–858. 81 indexed citations
8.
Masuda, Kunihiro, et al.. (1990). Four week intravenous toxicity study of recombinant human G-CSF (rG·CSF) in rats. 18. 97–128.
9.
Nishide, Hiroyuki, et al.. (1988). Preparation and oxidative polymerization of 2-fluoro-6(3-methyl-2-butenyl)phenol. Polymer Bulletin. 19(6). 2 indexed citations
10.
Nishide, Hiroyuki, et al.. (1987). Preparation and oxidative polymerization of 2-methyl-6-geranylphenol. Polymer Bulletin. 18(4). 4 indexed citations
11.
Iseki, Katsuhiko, et al.. (1986). ChemInform Abstract: A Convenient Synthesis of β‐Alkynylpropionic Acids from β‐Propiolactones.. Chemischer Informationsdienst. 17(21). 1 indexed citations
12.
Nakai, Tokiko, Toshitaka TAMAI, S. YAMADA, et al.. (1981). Plasma lipids and lipoproteins of Japanese adults and umbilical cord blood.. PubMed. 9(2). 132–50. 11 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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