Youko Suehiro

1.4k total citations
62 papers, 699 citations indexed

About

Youko Suehiro is a scholar working on Immunology, Pathology and Forensic Medicine and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Youko Suehiro has authored 62 papers receiving a total of 699 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Immunology, 25 papers in Pathology and Forensic Medicine and 15 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Youko Suehiro's work include Lymphoma Diagnosis and Treatment (24 papers), T-cell and Retrovirus Studies (22 papers) and Vector-Borne Animal Diseases (15 papers). Youko Suehiro is often cited by papers focused on Lymphoma Diagnosis and Treatment (24 papers), T-cell and Retrovirus Studies (22 papers) and Vector-Borne Animal Diseases (15 papers). Youko Suehiro collaborates with scholars based in Japan, United States and Canada. Youko Suehiro's co-authors include Mari Kannagi, Atsuhiko Hasegawa, Naokuni Uike, Jean‐Eric Ghia, Francine Côté, Jacques Mallet, Ilseung Choi, Jun Okamura, Yoshiko Nagano and Tadafumi Iino and has published in prestigious journals such as Journal of Clinical Oncology, Blood and The Journal of Immunology.

In The Last Decade

Youko Suehiro

59 papers receiving 690 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Youko Suehiro Japan 13 332 159 156 141 140 62 699
M Higashihara Japan 12 159 0.5× 48 0.3× 55 0.4× 101 0.7× 103 0.7× 26 467
Kakushi Matsushita Japan 17 486 1.5× 259 1.6× 232 1.5× 103 0.7× 104 0.7× 55 771
Izumi Horiuchi Japan 14 179 0.5× 21 0.1× 27 0.2× 51 0.4× 114 0.8× 24 613
Mickaël Bonnan France 14 187 0.6× 46 0.3× 32 0.2× 68 0.5× 102 0.7× 44 1.0k
Bernd Kitze Germany 13 188 0.6× 45 0.3× 44 0.3× 62 0.4× 60 0.4× 17 404
T Kitani Japan 17 427 1.3× 17 0.1× 12 0.1× 122 0.9× 203 1.4× 61 898
Mareo Yamoto Japan 22 272 0.8× 4 0.0× 254 1.6× 78 0.6× 601 4.3× 59 1.4k
Laurence Danel France 8 231 0.7× 8 0.1× 21 0.1× 94 0.7× 102 0.7× 9 586
H Kawai Japan 14 91 0.3× 50 0.3× 53 0.3× 22 0.2× 255 1.8× 36 484
Yoko Nishimura Japan 11 63 0.2× 38 0.2× 38 0.2× 26 0.2× 143 1.0× 58 422

Countries citing papers authored by Youko Suehiro

Since Specialization
Citations

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

Fields of papers citing papers by Youko Suehiro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Youko Suehiro

This figure shows the co-authorship network connecting the top 25 collaborators of Youko Suehiro. A scholar is included among the top collaborators of Youko Suehiro 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 Youko Suehiro. Youko Suehiro 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.
Iino, Tadafumi, Atsuhiko Hasegawa, Takaji Matsutani, et al.. (2025). Elimination of residual adult T‐cell leukaemia clones by Tax‐targeted dendritic cell vaccine. eJHaem. 6(1). e1072–e1072. 1 indexed citations
2.
Yoshimitsu, Makoto, Ilseung Choi, Shigeru Kusumoto, et al.. (2025). A phase 2 trial of CHOP with anti-CCR4 antibody mogamulizumab for older patients with adult T-cell leukemia/lymphoma. Blood. 146(12). 1440–1449. 5 indexed citations
3.
Izutsu, Koji, Junichiro Yuda, Hirokazu Nagai, et al.. (2023). Subcutaneous epcoritamab monotherapy in Japanese adults with relapsed/refractory diffuse large B‐cell lymphoma. Cancer Science. 114(12). 4643–4653. 12 indexed citations
4.
Tobinai, Kensei, Masaki Wakabayashi, Dai Maruyama, et al.. (2023). R‐CHOP treatment for patients with advanced follicular lymphoma: Over 15‐year follow‐up of JCOG0203. British Journal of Haematology. 204(3). 849–860. 7 indexed citations
5.
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7.
Yasunaga, Jun‐ichirou, Kisato Nosaka, Kenji Sugata, et al.. (2021). In vivo dynamics and adaptation of HTLV-1-infected clones under different clinical conditions. PLoS Pathogens. 17(2). e1009271–e1009271. 10 indexed citations
8.
Ezoe, Sachiko, Jiro Fujita, Daisuke Okuzaki, et al.. (2020). Ectonucleotidase CD39 is highly expressed on ATLL cells and is responsible for their immunosuppressive function. Leukemia. 35(1). 107–118. 25 indexed citations
9.
Suzuki, Ritsuro, Tsutomu Takahashi, Youko Suehiro, et al.. (2020). Dose-adjusted EPOCH with or without rituximab for aggressive lymphoma patients: real world data. International Journal of Hematology. 112(6). 807–816. 6 indexed citations
10.
Yamasaki, Satoshi, Shuro Yoshida, Koji Kato, et al.. (2020). Effects of stem cell transplantation in patients with peripheral T-cell lymphoma not otherwise specified and angioimmunoblastic T-cell lymphoma. International Journal of Hematology. 112(1). 74–83. 5 indexed citations
11.
Yoshimitsu, Makoto, Shigeo Fuji, Atae Utsunomiya, et al.. (2019). Outcomes of Allogeneic Hematopoietic Stem Cell Transplantation for ATL with HTLV-1 Antibody-Positive Donors. Biology of Blood and Marrow Transplantation. 26(4). 718–722. 3 indexed citations
12.
Masaki, Ayako, Takashi Ishida, Yasuhiro Maeda, et al.. (2017). Clinical significance of tryptophan catabolism in Hodgkin lymphoma. Cancer Science. 109(1). 74–83. 22 indexed citations
13.
Ghia, Jean‐Eric, et al.. (2011). Serotonin Activates Dendritic Cell Function in the Context of Gut Inflammation. American Journal Of Pathology. 178(2). 662–671. 117 indexed citations
14.
Inoue, Tomoko, Daisuke Sugiyama, Ryo Kurita, et al.. (2010). APOA-1 is a Novel Marker of Erythroid Cell Maturation from Hematopoietic Stem Cells in Mice and Humans. Stem Cell Reviews and Reports. 7(1). 43–52. 6 indexed citations
15.
Kurita, Ryo, Tatsuo Oikawa, Michiyo Okada, et al.. (2008). Construction of a high-performance human fetal liver-derived lentiviral cDNA library. Molecular and Cellular Biochemistry. 319(1-2). 181–187. 6 indexed citations
16.
Suehiro, Youko, et al.. (2007). Epithelioid hemangioendothelioma presenting with severe myelofibrosis and a high serum hyaluronan level. European Journal Of Haematology. 79(4). 349–353. 1 indexed citations
17.
Suehiro, Youko, Koichiro Muta, Manabu Nakashima, et al.. (2005). A novel mechanism in suppression of erythropoiesis during inflammation: a crucial role of RCAS1. European Journal Of Haematology. 74(5). 365–373. 16 indexed citations
18.
Shiokawa, Satoshi, Takamitsu Matsushima, Ilseung Choi, et al.. (2003). Re‐entry of tumour B cells into the cycle of somatic mutation and isotype switching in follicular lymphoma. British Journal of Haematology. 120(3). 492–495. 1 indexed citations
19.
Shiokawa, Satoshi, et al.. (2001). Sequence and expression analyses of μ and δ transcripts in patients with waldenström's macroglobulinemia. American Journal of Hematology. 68(3). 139–143. 11 indexed citations
20.
Suehiro, Youko, Koichiro Muta, Tsukuru Umemura, et al.. (1999). Macrophage inflammatory protein 1α enhances in a different manner adhesion of hematopoietic progenitor cells from bone marrow, cord blood, and mobilized peripheral blood. Experimental Hematology. 27(11). 1637–1645. 11 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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