T Kishimoto

3.1k citations
35 papers · 2.7k indexed · 1 hit paper · h-index 20
Topics
Multiple Myeloma Research and Treatments (3 papers)Cytokine Signaling Pathways and Interactions (3 papers)Blood properties and coagulation (2 papers)

In The Last Decade

T Kishimoto

35 papers receiving 2.6k citations

Hit Papers

IgG1 plasmacytosis in interleukin 6 transgenic mice.19892026200120131989100200300400

Peers

T Kishimoto
Comparison fields: 5 of 107
  • Immunology 793
  • Oncology 728
  • Molecular Biology 683
  • Behavioral Neuroscience 316
  • Rheumatology 289
Replace K. Hirokawa with:
K. Hirokawa Japan
Nicolas J. Goulding United Kingdom
Włodzimierz Maśliński Poland
Rowan Hardy United Kingdom
Heike M. Hermanns Germany
Hiromi Iwagaki Japan
Xiuyan Yang China
Sheng Xiao United States
Rainer Spanbroek Germany
David W. Essex United States
T Kishimoto relative to K. Hirokawa Japan K. Hirokawa's profile →
Citations per field
00.5×6.1×
K. Hirokawa · 1×
Citations per year

Countries citing papers authored by T Kishimoto

Since Specialization
Citations

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

Fields of papers citing papers by T Kishimoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T Kishimoto

This figure shows the co-authorship network connecting the top 25 collaborators of T Kishimoto. A scholar is included among the top collaborators of T Kishimoto 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 Kishimoto. T Kishimoto 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 18
2 170
3 11
4 75
5 2
6 19
7 132
8 3
9 13
10 3
11 97
12 15
13 33
14 32
15 16
16 72
17 31
18
Synergistic regulatory effects of interleukin 6 and interleukin 1 on the growth and differentiation of human and mouse myeloid leukemic cell lines.
52
19 225
20 355

About T Kishimoto

T Kishimoto is a scholar working on Immunology, Biochemistry and Oncology, having authored 35 papers that have together received 2.7k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (3 papers), Cytokine Signaling Pathways and Interactions (3 papers) and Blood properties and coagulation (2 papers). The work is most often cited by research in Behavioral Neuroscience (316 citations), Immunology (793 citations) and Oncology (728 citations). T Kishimoto has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Peter C. Heinrich, Thomas Geiger, Toshio Hirano, Tilo Andus, Michael G. Rosenfeld, Chung‐Ren Lin, Richard V. Pearse, S Suematsu, T Matsuda and K Yamamura. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation 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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