Junji Nishimura

6.8k citations
284 papers · 5.9k · h-index 36

Impact in

  • Hematology top 1%
    • Blood Coagulation and Thrombosis Mechanisms
    • Acute Myeloid Leukemia Research
  • Physiology top 1%
    • Nitric Oxide and Endothelin Effects

Papers in

    • Acute Myeloid Leukemia Research 27
    • Chronic Myeloid Leukemia Treatments 25
    • Chronic Lymphocytic Leukemia Research 26

Junji Nishimura

280 papers receiving 5.7k citations

Peers

Junji Nishimura
Comparison fields: 5 of 127
  • Hematology 845
  • Physiology 1.4k
  • Genetics 511
  • Molecular Biology 2.6k
  • Orthopedics and Sports Medicine 288
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Citations per field
00.5×2×4×5.4×
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Citations per year

Countries citing papers authored by Junji Nishimura

Since Specialization
Citations

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

Fields of papers citing papers by Junji Nishimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 284 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001422
2 1988286
3 1982275
4 1989209
5 1992126
6 2005123
7 199788
8 199284
9 200179
10 200476
11
Establishment and molecular characterization of a novel leukemic cell line with Philadelphia chromosome expressing p230 BCR/ABL fusion protein.
199569
12 199263
13 199063
14 199362
15 200357
16 200557
17 198955
18 199655
19 199853
20 199553

About Junji Nishimura

Junji Nishimura is a scholar working on Hematology, Genetics, Physiology, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 284 papers that have together received 5.9k indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (47 papers), Ion channel regulation and function (28 papers), Acute Myeloid Leukemia Research (27 papers), Receptor Mechanisms and Signaling (26 papers), Chronic Lymphocytic Leukemia Research (26 papers), Chronic Myeloid Leukemia Treatments (25 papers), Erythrocyte Function and Pathophysiology (16 papers) and Lymphoma Diagnosis and Treatment (15 papers). The work is most often cited by research in Hematology (845 citations), Physiology (1.4k citations), Genetics (511 citations), Molecular Biology (2.6k citations) and Orthopedics and Sports Medicine (288 citations). Junji Nishimura has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Hideo Kanaide, Katsuya Hirano, Cornelis van Breemen, Hajime Nawata, Thomas F. Deuel, Sei Kobayashi, Jung San Huang, Michael A. Kolber, Yuji Yufu and Koichiro Muta. Their work appears in journals such as British Journal of Pharmacology, Biochemical and Biophysical Research Communications, American Journal of Hematology, European Journal Of Haematology and Leukemia Research.

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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