Yasumichi Hitoshi

2.8k citations
48 papers · 2.1k indexed · h-index 22
Topics
Immune Cell Function and Interaction (13 papers)T-cell and B-cell Immunology (12 papers)Monoclonal and Polyclonal Antibodies Research (9 papers)
Partner nations
JapanUnited StatesCanada

In The Last Decade

Yasumichi Hitoshi

48 papers receiving 2.0k citations

Peers

Yasumichi Hitoshi
Comparison fields: 5 of 101
  • Immunology 1.1k
  • Molecular Biology 814
  • Oncology 421
  • Physiology 242
  • Surgery 194
Replace Toshiro Hara with:
Toshiro Hara Japan
Kurt Bachmaier Canada
Patricia A. Temple United States
MA Vadas Australia
Daniel J. Dairaghi United States
Elena Fernández‐Ruiz Spain
Jhagvaral Hasbold Australia
Dennis M. Willerford United States
Agnes Fütterer Spain
Shuhua Han United States
Yasumichi Hitoshi relative to Toshiro Hara Japan Toshiro Hara's profile →
Citations per field
00.5×1.7×
Toshiro Hara · 1×
Citations per year

Countries citing papers authored by Yasumichi Hitoshi

Since Specialization
Citations

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

Fields of papers citing papers by Yasumichi Hitoshi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yasumichi Hitoshi

This figure shows the co-authorship network connecting the top 25 collaborators of Yasumichi Hitoshi. A scholar is included among the top collaborators of Yasumichi Hitoshi 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 Yasumichi Hitoshi. Yasumichi Hitoshi 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
#WorkIndexed citations
1 1
2 2
3 14
4 429
5 5
6
Transforming growth factor beta induces IgA production and acts additively with interleukin 5 for IgA production. J. Exp. Med. 1989. 170: 1415-1420.
10
7 161
8 13
9 110
10 120
11 188
12 15
13 9
14 13
15 7
16 22
17 43
18 50
19
-0063-ALTERNATION IN EXPRESSION OF MYOSIN LIGHT CHAIN 1 IN THE OVERLOADED HUMAN LEFT VENTRICULAR MYOCARDIUM
1
20 38

About Yasumichi Hitoshi

Yasumichi Hitoshi is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Molecular Biology, having authored 48 papers that have together received 2.1k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (13 papers), T-cell and B-cell Immunology (12 papers) and Monoclonal and Polyclonal Antibodies Research (9 papers). The work is most often cited by research in Immunology (1.1k citations), Oncology (421 citations) and Immunology and Allergy (88 citations). Yasumichi Hitoshi has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Kiyoshi Takatsu, Donald G. Payan, Akira Tominaga, James B. Lorens, Garry P. Nolan, Christian Franci, Shigemi Kinoshita, Sacha J. Holland, Naoto Yamaguchi and Yuji Kikuchi. Their work appears in journals such as Journal of Biological Chemistry, Nature Genetics and Blood.

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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