Daisuke Adachi

410 citations
18 papers · 239 · h-index 9

Impact in

Papers in

Daisuke Adachi

18 papers receiving 232 citations

Peers

Daisuke Adachi
Comparison fields: 5 of 54
  • Pathology and Forensic Medicine 103
  • Hematology 52
  • Genetics 46
  • Rheumatology 44
  • Hepatology 15
Replace Kumiko Shimoyama with:
Kumiko Shimoyama Japan
Michifumi Kohno Japan
Julie Milojevic Switzerland
Bernard Lauwerys Belgium
M. Maynadié France
Emily Sutton United Kingdom
Amie Fonder United States
T. Tison Italy
Weng Giap Law Singapore
Nataša Stanisavljević Serbia
Daisuke Adachi relative to Kumiko Shimoyama Japan Kumiko Shimoyama's profile →
Citations per field
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Citations per year

Countries citing papers authored by Daisuke Adachi

Since Specialization
Citations

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

Fields of papers citing papers by Daisuke Adachi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1
Leflunomide induced acute interstitial pneumonia.
200533
2 200031
3 200430
4 200325
5 200622
6 200417
7 200416
8
Successful allogeneic bone marrow transplantation for hepatosplenic gammadelta T cell lymphoma.
200115
9 200813
10 20238
11 20048
12 20055
13 20014
14 20053
15 20083
16 20063
17
[A case of adult polyarteritis nodosa associated with fulminant group A streptococcal infection].
20022
18 20061

About Daisuke Adachi

Daisuke Adachi is a scholar working on Pathology and Forensic Medicine, Genetics, Pulmonary and Respiratory Medicine, Rheumatology and Hepatology, having authored 18 papers that have together received 239 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (5 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (3 papers), Chronic Lymphocytic Leukemia Research (3 papers), Coding theory and cryptography (2 papers), Acute Myeloid Leukemia Research (2 papers), Viral-associated cancers and disorders (2 papers), Cryptography and Residue Arithmetic (2 papers) and Hepatitis C virus research (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (103 citations), Hematology (52 citations), Genetics (46 citations), Rheumatology (44 citations) and Hepatology (15 citations). Daisuke Adachi has collaborated with scholars based in Japan and United States. Frequent co-authors include Tsuyoshi Nakamaki, Shigeru Tomoyasu, Yuji Akiyama, Bungo Saito, Toshihide Mimura, Junko Suzuki, Teruhiko Suzuki, Akio Mimori, Jun Ooi and T Iseki. Their work appears in journals such as International Journal of Hematology, Pathology International, British Journal of Haematology, Blood 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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