Tsutomu Shichishima

1.9k citations
94 papers · 1.0k indexed · h-index 18
  • Nephrology top 2%
    • Renal Diseases and Glomerulopathies 16
  • Hematology top 2%
    • Blood groups and transfusion 25
    • Acute Myeloid Leukemia Research 15
    • Platelet Disorders and Treatments 10
  • Immunology top 5%
    • Complement system in diseases 47
  • Genetics top 5%
    • Hemoglobinopathies and Related Disorders 9
    • Coagulation, Bradykinin, Polyphosphates, and Angioedema 8
    • Chronic Lymphocytic Leukemia Research 7

Tsutomu Shichishima

89 papers receiving 974 citations

Peers

Tsutomu Shichishima
Comparison fields: 5 of 66
  • Nephrology 335
  • Hematology 435
  • Immunology 665
  • Transplantation 74
  • Genetics 289
Replace Haruhiko Ninomiya with:
Haruhiko Ninomiya Japan
V. Aumann Germany
Sandra Fátima Menosi Gualandro Brazil
Pascale Poullin France
Gerald B. Appel United States
Sunil Babu United States
Beatrijs Oortwijn Netherlands
Ayad Hamdan United States
Samantha Griffini Italy
H. Heimpel Germany
Tsutomu Shichishima relative to Haruhiko Ninomiya Japan Haruhiko Ninomiya's profile →
Citations per field
00.5×1.5×1.8×
Haruhiko Ninomiya · 1×
Citations per year

Countries citing papers authored by Tsutomu Shichishima

Since Specialization
Citations

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

Fields of papers citing papers by Tsutomu Shichishima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20231
2 201638
3 20141
4 201329
5 20128
6 20124
7 201117
8 20070
9 200724
10 2004186
11 200410
12 200312
13 200339
14 20028
15 200213
16 20012
17 20019
18 20001
19 19941
20 199135

About Tsutomu Shichishima

Tsutomu Shichishima is a scholar working on Hematology, Immunology and Genetics, having authored 94 papers that have together received 1.0k indexed citations. Recurring topics across this work include Complement system in diseases (47 papers), Blood groups and transfusion (25 papers), Renal Diseases and Glomerulopathies (16 papers), Acute Myeloid Leukemia Research (15 papers), Platelet Disorders and Treatments (10 papers), Hemoglobinopathies and Related Disorders (9 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (8 papers) and Chronic Lymphocytic Leukemia Research (7 papers). The work is most often cited by research in Nephrology (335 citations), Hematology (435 citations) and Immunology (665 citations). Tsutomu Shichishima has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Yukio Maruyama, Takashi Terasawa, Hitoshi Ohto, Yuzuru Kanakura, Hideyoshi Noji, Haruhiko Ninomiya, Hideki Nakakuma, Taroh Kinoshita, Kazuhiko Ikeda and Mitsuhiro Omine. Their work appears in journals such as Blood, PLoS ONE and Journal of Leukocyte Biology.

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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