T Kishida

670 total citations
42 papers, 523 citations indexed

About

T Kishida is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, T Kishida has authored 42 papers receiving a total of 523 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 13 papers in Genetics and 10 papers in Immunology. Recurrent topics in T Kishida's work include Forensic and Genetic Research (8 papers), Monoclonal and Polyclonal Antibodies Research (8 papers) and Blood groups and transfusion (7 papers). T Kishida is often cited by papers focused on Forensic and Genetic Research (8 papers), Monoclonal and Polyclonal Antibodies Research (8 papers) and Blood groups and transfusion (7 papers). T Kishida collaborates with scholars based in Japan, United States and Vietnam. T Kishida's co-authors include Yoh Tamaki, Kazunari Murakami, Wei Wang, Tomohisa Uchida, Masatsugu Moriyama, Naoki Hijiya, Keiko Matsuura, Yoshiyuki Tsukamoto, Toshio Fujioka and M. Fukuda and has published in prestigious journals such as PLoS ONE, The Journal of Pathology and Journal of Immunological Methods.

In The Last Decade

T Kishida

39 papers receiving 505 citations

Peers

T Kishida
Comparison fields: 5 of 80
  • Molecular Biology 194
  • Surgery 188
  • Genetics 126
  • Immunology 103
  • Pulmonary and Respiratory Medicine 65
Replace Alice Miles with:
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Hirofumi Nonogaki Japan
J. Desmond Robb Canada
Eiichiro Noguchi Japan
Fumiaki Motoyoshi Japan
Eun Shin South Korea
Michelle S. Bloom United States
Toshihiro Kishikawa Japan
Shaleen Kumar India
Alice Miles United Kingdom View profile →
Citations per field, relative to T Kishida
T Kishida · 1×
Citations per year, relative to T Kishida
T Kishida · 1×

Countries citing papers authored by T Kishida

Since Specialization
Citations

This map shows the geographic impact of T Kishida'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 T Kishida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Kishida more than expected).

Fields of papers citing papers by T Kishida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T Kishida

This figure shows the co-authorship network connecting the top 25 collaborators of T Kishida. A scholar is included among the top collaborators of T Kishida 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 T Kishida. T Kishida 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
# Work Indexed citations
1 41
2 11
3 9
4 42
5 13
6 95
7 60
8 5
9
[Detection of anti-IgA alloantibody in a case of non-hemolytic transfusion reaction].
1
10 6
11
Quintuplex PCR-amplification of microsatellites.
6
12
PCR amplification of D2S44 (YNH24) alleles.
2
13 6
14
Atypical inheritance of hemogenetic markers: seven cases of disputed parentage.
0
15 3
16 5
17 2
18 1
19 9
20 9

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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