Eiji Kusumi

2.5k total citations
68 papers, 1.4k citations indexed

About

Eiji Kusumi is a scholar working on Hematology, Epidemiology and Oncology. According to data from OpenAlex, Eiji Kusumi has authored 68 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Hematology, 18 papers in Epidemiology and 13 papers in Oncology. Recurrent topics in Eiji Kusumi's work include Hematopoietic Stem Cell Transplantation (29 papers), Cytomegalovirus and herpesvirus research (8 papers) and Polyomavirus and related diseases (7 papers). Eiji Kusumi is often cited by papers focused on Hematopoietic Stem Cell Transplantation (29 papers), Cytomegalovirus and herpesvirus research (8 papers) and Polyomavirus and related diseases (7 papers). Eiji Kusumi collaborates with scholars based in Japan, United States and United Kingdom. Eiji Kusumi's co-authors include Masahiro Kami, Shigesaburo Miyakoshi, Shuichi Taniguchi, Tomoko Matsumura, Naoko Murashige, Koichiro Yuji, Yukiko Kishi, Tamae Hamaki, Yoshinobu Kanda and Atsushi Wake and has published in prestigious journals such as Blood, Cancer and Clinical Infectious Diseases.

In The Last Decade

Eiji Kusumi

66 papers receiving 1.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Eiji Kusumi Japan 23 647 485 399 265 212 68 1.4k
Naoko Murashige Japan 21 578 0.9× 439 0.9× 294 0.7× 276 1.0× 134 0.6× 55 1.2k
Yukiko Kishi Japan 22 531 0.8× 456 0.9× 280 0.7× 210 0.8× 176 0.8× 61 1.2k
Molly Maloy United States 22 635 1.0× 834 1.7× 304 0.8× 236 0.9× 226 1.1× 111 1.6k
Frederick Chen United Kingdom 26 552 0.9× 360 0.7× 521 1.3× 236 0.9× 197 0.9× 73 1.9k
Archie Prentice United Kingdom 19 772 1.2× 380 0.8× 277 0.7× 238 0.9× 285 1.3× 55 1.7k
Benjamin W. Teh Australia 23 307 0.5× 590 1.2× 528 1.3× 184 0.7× 474 2.2× 77 1.4k
Alain Kentos Belgium 18 330 0.5× 284 0.6× 288 0.7× 190 0.7× 199 0.9× 58 1.4k
Haydar Frangoul United States 27 1.1k 1.8× 422 0.9× 437 1.1× 490 1.8× 250 1.2× 131 2.4k
Ilene Brill United States 24 269 0.4× 265 0.5× 274 0.7× 125 0.5× 393 1.9× 67 1.7k
John L. Perez United States 28 684 1.1× 123 0.3× 1.1k 2.9× 408 1.5× 209 1.0× 64 3.3k

Countries citing papers authored by Eiji Kusumi

Since Specialization
Citations

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

Fields of papers citing papers by Eiji Kusumi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eiji Kusumi

This figure shows the co-authorship network connecting the top 25 collaborators of Eiji Kusumi. A scholar is included among the top collaborators of Eiji Kusumi 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 Eiji Kusumi. Eiji Kusumi 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
1.
Murayama, Anju, Sae Kamamoto, Erika Yamashita, et al.. (2023). Pharmaceutical Payments to Japanese Board‐Certified Head and Neck Surgeons Between 2016 and 2019. OTO Open. 7(1). e31–e31. 6 indexed citations
2.
Murayama, Anju, Hiroaki Saito, Sae Kamamoto, et al.. (2022). Nature and Trends in Personal Payments Made to the Respiratory Physicians by Pharmaceutical Companies in Japan between 2016 and 2019. Respiration. 101(12). 1088–1098. 18 indexed citations
4.
Murayama, Anju, Sae Kamamoto, Hiroaki Saito, et al.. (2022). Pharmaceutical Payments to Japanese Board-Certified Infectious Disease Specialists: A Four-Year Retrospective Analysis of Payments from 92 Pharmaceutical Companies between 2016 and 2019. International Journal of Environmental Research and Public Health. 19(12). 7417–7417. 16 indexed citations
6.
Takita, Morihito, Tomoko Matsumura, Kana Yamamoto, et al.. (2020). Geographical Profiles of COVID-19 Outbreak in Tokyo: An Analysis of the Primary Care Clinic–Based Point-of-Care Antibody Testing. Journal of Primary Care & Community Health. 11. 3373088359–3373088359. 13 indexed citations
7.
Tanimoto, Tetsuya, Saori Sakaue, Tomohiko Sato, et al.. (2018). Patients’ demographics of a convenient clinic located in a large railway station in metropolitan Tokyo area. Medicine. 97(2). e9646–e9646. 3 indexed citations
8.
Iwamoto, Shotaro, Noboru Hagino, Tetsuya Tanimoto, & Eiji Kusumi. (2012). Wheat-dependent exercise-induced anaphylaxis associated with a facial soap. BMJ Case Reports. 2012. bcr0120125641–bcr0120125641. 4 indexed citations
9.
Matsumura, Tomoko, Masahiro Kami, Takuhiro Yamaguchi, et al.. (2012). Allogeneic cord blood transplantation for adult acute lymphoblastic leukemia: retrospective survey involving 256 patients in Japan. Leukemia. 26(7). 1482–1486. 22 indexed citations
10.
Kishi, Yukiko, Tomoko Matsumura, Yuko Kodama, et al.. (2011). Internet-Based Survey on Medical Manga in Japan. Health Communication. 26(7). 676–678. 9 indexed citations
11.
Takagi, Shinsuke, Kazuhiro Masuoka, Naoyuki Uchida, et al.. (2009). High incidence of haemophagocytic syndrome following umbilical cord blood transplantation for adults. British Journal of Haematology. 147(4). 543–553. 68 indexed citations
12.
Matsumura, Tomoko, Koichiro Yuji, Eiji Kusumi, et al.. (2008). Possible Impact of the NHK Special Questioning Cancer Treatment in Japan on Clinicians' Prescriptions of Oxaliplatin. Japanese Journal of Clinical Oncology. 38(1). 78–83. 4 indexed citations
13.
Narimatsu, Hiroto, Tomoko Matsumura, Yuko Kodama, et al.. (2007). A study of cancer information for cancer patients on the internet. International Journal of Clinical Oncology. 12(6). 440–447. 9 indexed citations
14.
15.
Maeda, Takashi, Eiji Kusumi, Masahiro Kami, et al.. (2004). Disseminated tuberculosis following reduced-intensity cord blood transplantation for adult patients with hematological diseases. Bone Marrow Transplantation. 35(1). 91–97. 23 indexed citations
16.
Yuji, Koichiro, et al.. (2003). 51 Mismatched unrelated cord blood transplantation following reduced-intensity conditioning regimen (RICBT) in adults with hematological diseases and solid malignancies. Biology of Blood and Marrow Transplantation. 9(2). 80–80. 1 indexed citations
17.
Tanimoto, Tetsuya, Eiji Kusumi, Tamae Hamaki, et al.. (2003). High complete response rate after allogeneic hematopoietic stem cell transplantation with reduced-intensity conditioning regimens in advanced malignant lymphoma. Bone Marrow Transplantation. 32(2). 131–137. 16 indexed citations
18.
Yamamoto, Rie, Eiji Kusumi, Masahiro Kami, et al.. (2003). Late hemorrhagic cystitis after reduced-intensity hematopoietic stem cell transplantation (RIST). Bone Marrow Transplantation. 32(11). 1089–1095. 28 indexed citations
19.
Hamaki, Tamae, Hideyuki Katori, Masahiro Kami, et al.. (2002). Successful allogeneic blood stem cell transplantation for aplastic anemia in a patient with renal insufficiency requiring dialysis. Bone Marrow Transplantation. 30(3). 195–198. 7 indexed citations

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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