Jun Okamura

5.1k citations
209 papers · 4.2k · h-index 33

Impact in

  • Hepatology top 1%
    • Hepatocellular Carcinoma Treatment and Prognosis
  • Immunology top 2%
    • T-cell and Retrovirus Studies

Papers in

    • Hepatocellular Carcinoma Treatment and Prognosis 33
    • Hematopoietic Stem Cell Transplantation 27
    • Acute Myeloid Leukemia Research 7

Jun Okamura

201 papers receiving 4k citations

Peers

Jun Okamura
Comparison fields: 5 of 105
  • Hepatology 812
  • Immunology 901
  • Hematology 597
  • Pediatrics, Perinatology and Child Health 253
  • Oncology 378
Replace Laura C. Bowman with:
Laura C. Bowman United States
Howard Ozer United States
Kai‐Hsin Lin Taiwan
Andreas Hirt Switzerland
Axel Rolf Zander Germany
Denman Hammond United States
R. Erttmann Germany
Marvin J. Stone United States
Junichi Hara Japan
Carl E. Allen United States
Jun Okamura relative to Laura C. Bowman United States Laura C. Bowman's profile →
Citations per field
00.5×1.5×2.1×
Laura C. Bowman · 1×
Citations per year

Countries citing papers authored by Jun Okamura

Since Specialization
Citations

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

Fields of papers citing papers by Jun Okamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 209 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010236
2 1984163
3 1997148
4 2004126
5 1992118
6 2012115
7 1999114
8 2015107
9 2012102
10 198386
11 199186
12 201086
13 198363
14 199561
15 198257
16 200852
17 200548
18 201046
19 201546
20 201144

About Jun Okamura

Jun Okamura is a scholar working on Hepatology, Hematology, Immunology, Public Health, Environmental and Occupational Health and Oncology, having authored 209 papers that have together received 4.2k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (33 papers), Hematopoietic Stem Cell Transplantation (27 papers), Acute Lymphoblastic Leukemia research (24 papers), T-cell and Retrovirus Studies (20 papers), Childhood Cancer Survivors' Quality of Life (10 papers), Acute Myeloid Leukemia Research (7 papers), Head and Neck Cancer Studies (7 papers) and Organ Transplantation Techniques and Outcomes (7 papers). The work is most often cited by research in Hepatology (812 citations), Immunology (901 citations), Hematology (597 citations), Pediatrics, Perinatology and Child Health (253 citations) and Oncology (378 citations). Jun Okamura has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Masami Sakurai, C Kuroda, Morito Monden, Mari Kannagi, Ryuji Tanosaki, Atae Utsunomiya, Reiji Fukano, Jiro Inagaki, Hiroko Inada and Yoshihisa Nagatoshi. Their work appears in journals such as International Journal of Hematology, Cancer Chemotherapy and Pharmacology, British Journal of Haematology, Pediatric Transplantation and Cancer.

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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