H. Yoshida

840 total citations
36 papers, 653 citations indexed

About

H. Yoshida is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Spectroscopy. According to data from OpenAlex, H. Yoshida has authored 36 papers receiving a total of 653 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 9 papers in Endocrinology, Diabetes and Metabolism and 6 papers in Spectroscopy. Recurrent topics in H. Yoshida's work include Analytical Chemistry and Chromatography (6 papers), Pituitary Gland Disorders and Treatments (4 papers) and Hormonal Regulation and Hypertension (4 papers). H. Yoshida is often cited by papers focused on Analytical Chemistry and Chromatography (6 papers), Pituitary Gland Disorders and Treatments (4 papers) and Hormonal Regulation and Hypertension (4 papers). H. Yoshida collaborates with scholars based in Japan and United States. H. Yoshida's co-authors include Hideo Imai, Andrew M. Michelakis, Tadashi Inagami, Kazuo Murakami, Tsutomu Masujima, Ikue Morita, Xiaochun Chen, Fumi Takemoto, Soichiro Okubo and S. Tsuchida and has published in prestigious journals such as Endocrinology, American Journal of Obstetrics and Gynecology and Journal of Pharmaceutical Sciences.

In The Last Decade

H. Yoshida

34 papers receiving 576 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
H. Yoshida Japan 14 214 171 162 152 92 36 653
James D. Pearson United States 16 480 2.2× 72 0.4× 260 1.6× 27 0.2× 86 0.9× 24 956
Brian D. Stewart United States 14 135 0.6× 112 0.7× 128 0.8× 115 0.8× 125 1.4× 46 686
S. Sved Canada 14 199 0.9× 75 0.4× 77 0.5× 11 0.1× 64 0.7× 39 602
Mark Bayliss United Kingdom 12 239 1.1× 26 0.2× 58 0.4× 30 0.2× 41 0.4× 46 835
Tuba Reçber Türkiye 10 254 1.2× 34 0.2× 101 0.6× 24 0.2× 95 1.0× 46 552
John E. Coutant United States 11 139 0.6× 22 0.1× 155 1.0× 19 0.1× 70 0.8× 25 445
Matthew W. Noall United States 12 250 1.2× 32 0.2× 44 0.3× 64 0.4× 23 0.3× 29 792
E T Lin United States 17 191 0.9× 24 0.1× 67 0.4× 46 0.3× 61 0.7× 23 946
B. Holmes United States 12 180 0.8× 108 0.6× 21 0.1× 34 0.2× 40 0.4× 21 747
Corinne Buisson France 17 151 0.7× 17 0.1× 119 0.7× 284 1.9× 20 0.2× 46 739

Countries citing papers authored by H. Yoshida

Since Specialization
Citations

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

Fields of papers citing papers by H. Yoshida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of H. Yoshida

This figure shows the co-authorship network connecting the top 25 collaborators of H. Yoshida. A scholar is included among the top collaborators of H. Yoshida 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 H. Yoshida. H. Yoshida 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.
Miyoshi, Tatsuya, Yoshio Mori, Katsuhiro Komase, et al.. (2019). Comparison of virological and serological methods for laboratory confirmation of rubella. Journal of Clinical Virology. 123. 104257–104257. 3 indexed citations
2.
Nakajima, Takeshi, H. Yoshida, Bin Chang, et al.. (2018). Local outbreak of Streptococcus pneumoniae serotype 12F caused high morbidity and mortality among children and adults. Epidemiology and Infection. 146(14). 1793–1796. 16 indexed citations
3.
Yoshida, H., et al.. (2011). PCR-based surveillance of Culex pipiens complex in Sakai City, Osaka, Japan. Medical Entomology and Zoology. 62(2). 117–124. 1 indexed citations
4.
Park, Sarah Y., Eric Mintz, Pavani K. Ram, et al.. (2008). International foodborne outbreak ofShigella sonneiinfection in airline passengers. Epidemiology and Infection. 137(3). 335–341. 30 indexed citations
5.
Yoshida, H., et al.. (2007). An Outbreak of Cryptosporidiosis Suspected to be Related to Contaminated Food, October 2006, Sakai City, Japan. Japanese Journal of Infectious Diseases. 60(6). 405–407. 22 indexed citations
6.
Miyoshi, Tatsuya, et al.. (2006). Characteristics of Norovirus Outbreaks during a Non-Epidemic Season. Japanese Journal of Infectious Diseases. 59(2). 140–141. 2 indexed citations
7.
Yoshida, H., et al.. (2003). B07 Yearly changes in captured numbers of Culex tritaeniorhynchus and Anopheles sinensis in the past 34 years in Toyama Prefecture. Medical Entomology and Zoology. 54(4). 36–36. 1 indexed citations
8.
Chen, Xiaochun, H. Yoshida, S. Tsuchida, et al.. (1997). Targeting deletion of angiotensin type 1B receptor gene in the mouse. American Journal of Physiology-Renal Physiology. 272(3). F299–F304. 142 indexed citations
9.
Hayashi, Tomonori, et al.. (1989). HPLC analysis of human epidermal growth factor using immunoaffinity precolumn. I. Optimization of immunoaffinity column. Chromatographia. 27(11-12). 569–573. 26 indexed citations
10.
Yoshida, H., et al.. (1987). High-performance liquid chromatographic drug analysis by direct injection of whole blood samples. Journal of Chromatography B Biomedical Sciences and Applications. 423. 155–161. 14 indexed citations
11.
Yoshida, H., et al.. (1987). High-performance liquid chromatographic drug analysis by direct injection of whole blood samples. Journal of Chromatography B Biomedical Sciences and Applications. 423. 147–153. 18 indexed citations
12.
Yoshida, H., et al.. (1987). High-performance liquid chromatographic drug analysis by direct injection of whole blood samples. Journal of Chromatography B Biomedical Sciences and Applications. 423. 163–168. 13 indexed citations
13.
Imai, Hideo, et al.. (1986). On-line deproteinization of serum sample for HPLC analysis of hydrophilic compounds and its application to gentamicin. Chromatographia. 21(9). 519–522. 15 indexed citations
14.
Morita, Ikue, et al.. (1984). Direct, Simultaneous Determination of Propranolol and Its 4-Hydroxy Metabolite by Liquid Chromatography. Journal of Pharmaceutical Sciences. 73(12). 1825–1827. 16 indexed citations
15.
Ikemoto, Shigenori, et al.. (1984). Transformation of blood group antigens and release of amino acids induced by dispase treatment.. PubMed. 38(1). 1–4. 2 indexed citations
16.
Ogawa, Katsuro, Hitoshi Tanio, Tomoatsu Kimura, et al.. (1983). [Primary aldosteronism caused by multiple adrenal gland adenoma].. PubMed. 41(8). 1948–57. 1 indexed citations
17.
Noguchi, Akinori, Keiji Ohe, Anderson Miyoshi, et al.. (1978). Determination of tissue histamine and spermidine by means of high-performance liquid-chromatography.. PubMed. 27(2). 93–7. 3 indexed citations
18.
Michelakis, Andrew M., et al.. (1976). PLASMA RENIN ACTIVITY AND PLASMA ALDOSTERONE DURING THE NORMAL MENSTRUAL CYCLE. Obstetrical & Gynecological Survey. 31(6). 507–507. 1 indexed citations
19.
Yoshida, H., H Mizukoshi, & Yuko Araki. (1971). [The third factor].. PubMed. 28(1). 53–7. 8 indexed citations
20.
Saito, Shiro, Kaoru Abe, H. Yoshida, et al.. (1971). Effects of Synthetic Thyrotropin-Releasing Hormone on Plasma Thyrotropin, Growth Hormone and Insulin Levels in Man. Endocrinologia Japonica. 18(1). 101–108. 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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