Jin Takeuchi

2.7k citations
94 papers · 1.7k indexed · h-index 22

Jin Takeuchi

90 papers receiving 1.7k citations

Peers

Jin Takeuchi
Comparison fields: 5 of 104
  • Hematology 987
  • Genetics 344
  • Public Health, Environmental and Occupational Health 605
  • Pathology and Forensic Medicine 306
  • Oncology 390
Replace Fumio Bessho with:
Fumio Bessho Japan
Shuichi Miyawaki Japan
DS Snyder United States
Anna Porwit‐MacDonald Sweden
Yoshihiro Hatta Japan
Hiroaki Goto Japan
Marie‐Thérèse Daniel France
Marcel P. Devetten United States
José Cervera Spain
Makoto Onizuka Japan
Jin Takeuchi relative to Fumio Bessho Japan Fumio Bessho's profile →
Citations per field
00.5×1.5×
Fumio Bessho · 1×
Citations per year

Countries citing papers authored by Jin Takeuchi

Since Specialization
Citations

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

Fields of papers citing papers by Jin Takeuchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202010
2 20182
3 201829
4 20134
5 201316
6 201280
7 201148
8 20114
9 20116
10 201110
11 201031
12 20101
13 20092
14 200875
15 20079
16 200611
17 20059
18
Management of infectious complications in patients with acute leukemia during chemotherapy : A questionnaire analysis by the Japan Adult Leukemia Study Group
20033
19 19954
20 19937

About Jin Takeuchi

Jin Takeuchi is a scholar working on Hematology, Genetics and Pathology and Forensic Medicine, having authored 94 papers that have together received 1.7k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (34 papers), Acute Lymphoblastic Leukemia research (25 papers), Chronic Myeloid Leukemia Treatments (24 papers), Chronic Lymphocytic Leukemia Research (19 papers), Lymphoma Diagnosis and Treatment (19 papers), Eosinophilic Disorders and Syndromes (10 papers), Viral-associated cancers and disorders (8 papers) and Retinoids in leukemia and cellular processes (8 papers). The work is most often cited by research in Hematology (987 citations), Genetics (344 citations) and Public Health, Environmental and Occupational Health (605 citations). Jin Takeuchi has collaborated with scholars based in Japan, United States and India. Frequent co-authors include Yoshihiro Hatta, Tomoki Naoe, Shuichi Miyawaki, Ryuzo Ohno, Yasushi Miyazaki, Noriyoshi Iriyama, Shigeki Ohtake, Noriko Usui, Akira Horikoshi and Avery A. Sandberg. Their work appears in journals such as International Journal of Hematology, Blood, Leukemia Research, Acta Haematologica and International Journal of Oncology.

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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