Hiromi Koiso

593 citations
44 papers · 426 indexed · h-index 12
Topics
Lymphoma Diagnosis and Treatment (17 papers)Viral-associated cancers and disorders (9 papers)Immune Cell Function and Interaction (6 papers)
Partner nations
JapanAustraliaNigeria

In The Last Decade

Hiromi Koiso

40 papers receiving 418 citations

Peers

Hiromi Koiso
Comparison fields: 5 of 53
  • Hematology 152
  • Pathology and Forensic Medicine 143
  • Immunology 128
  • Genetics 110
  • Molecular Biology 94
Replace Marjan Daneshpouy with:
Marjan Daneshpouy France
Shanhua Zou China
Chun‐Hsin Wu Taiwan
Silvana Capalbo Italy
Ken Gatter United States
Joanne Ewing United Kingdom
Vera Malkovska United States
Naoki Kurita Japan
Bjarne Anker Jensen Denmark
Matthew T. Howard United States
Hiromi Koiso relative to Marjan Daneshpouy France Marjan Daneshpouy's profile →
Citations per field
00.5×3.1×
Marjan Daneshpouy · 1×
Citations per year

Countries citing papers authored by Hiromi Koiso

Since Specialization
Citations

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

Fields of papers citing papers by Hiromi Koiso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiromi Koiso

This figure shows the co-authorship network connecting the top 25 collaborators of Hiromi Koiso. A scholar is included among the top collaborators of Hiromi Koiso 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 Hiromi Koiso. Hiromi Koiso 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
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3 6
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5 12
6 14
7 3
8 1
9 5
10 30
11 18
12 2
13 25
14 28
15 11
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17 21
18 10
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Successful low-dose cytosine arabinoside treatment in a patient with acute leukemia from idiopathic myelofibrosis.
3
20
[alpha-thalassemia accompanied with Gilbert's syndrome].
5

About Hiromi Koiso

Hiromi Koiso is a scholar working on Hematology, Genetics and Pathology and Forensic Medicine, having authored 44 papers that have together received 426 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (17 papers), Viral-associated cancers and disorders (9 papers) and Immune Cell Function and Interaction (6 papers). The work is most often cited by research in Hematology (152 citations), Genetics (110 citations) and Pathology and Forensic Medicine (143 citations). Hiromi Koiso has collaborated with scholars based in Japan, Australia and Nigeria. Frequent co-authors include Norifumi Tsukamoto, Hirokazu Murakami, Akihiko Yokohama, Hiroshi Handa, Yoshihisa Nojima, Masamitsu Karasawa, Takeki Mitsui, Takayuki Saitoh, Hideki Uchiumi and Makiko Takizawa. Their work appears in journals such as Blood, PLoS ONE and British Journal of Haematology.

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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