Seiichi Hashida

3.2k citations
138 papers · 2.7k · h-index 26

Impact in

Papers in

Seiichi Hashida

134 papers receiving 2.6k citations

Peers

Seiichi Hashida
Comparison fields: 5 of 124
  • Virology 325
  • Radiology, Nuclear Medicine and Imaging 548
  • Endocrinology, Diabetes and Metabolism 378
  • Biotechnology 173
  • Hematology 205
Replace Giju Thomas with:
Giju Thomas United States
Akira Kawaoi Japan
Keiko Matsubara Japan
Emmanuel Fenouillet France
Michael Doyle United States
Stephen M. Baird United States
Ganesh M. Sathe United States
Peter T. Lomedico United States
A Senik France
Nancy Wang United States
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Citations per field
00.5×3.4×
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Citations per year

Countries citing papers authored by Seiichi Hashida

Since Specialization
Citations

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

Fields of papers citing papers by Seiichi Hashida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 138 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1983465
2 1993141
3 1983111
4 198089
5 199489
6 198367
7 198855
8 198749
9 198847
10
Comparative study of plasminogen activators in cancers and normal mucosae of human urinary bladder.
198943
11 198242
12 198440
13 198339
14 199038
15 198038
16 199335
17 198533
18 199532
19 198731
20 199031

About Seiichi Hashida

Seiichi Hashida is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Virology, Endocrinology, Diabetes and Metabolism and Immunology, having authored 138 papers that have together received 2.7k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (35 papers), HIV Research and Treatment (32 papers), Growth Hormone and Insulin-like Growth Factors (20 papers), HIV/AIDS drug development and treatment (17 papers), Blood groups and transfusion (11 papers), Protein purification and stability (10 papers), Advanced biosensing and bioanalysis techniques (10 papers) and Advanced Biosensing Techniques and Applications (10 papers). The work is most often cited by research in Virology (325 citations), Radiology, Nuclear Medicine and Imaging (548 citations), Endocrinology, Diabetes and Metabolism (378 citations), Biotechnology (173 citations) and Hematology (205 citations). Seiichi Hashida has collaborated with scholars based in Japan, United States and Armenia. Frequent co-authors include Eiji Ishikawa, Masayoshi Imagawa, Shinji Yoshitake, Nobuhiko Katunuma, Eiki Kominami, Tetsuo Ueno, Yoshitaka Hamaguchi, Roy H. Doi, Marc A. Goldstein and Masahiro Takagi. Their work appears in journals such as Journal of Clinical Laboratory Analysis, Analytical Letters, The Journal of Biochemistry, Clinica Chimica Acta and Annals of Clinical Biochemistry International Journal of Laboratory Medicine.

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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