Shuichi Hanada

3.5k total citations
83 papers, 2.2k citations indexed

About

Shuichi Hanada is a scholar working on Immunology, Ecology, Evolution, Behavior and Systematics and Agronomy and Crop Science. According to data from OpenAlex, Shuichi Hanada has authored 83 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Immunology, 34 papers in Ecology, Evolution, Behavior and Systematics and 18 papers in Agronomy and Crop Science. Recurrent topics in Shuichi Hanada's work include T-cell and Retrovirus Studies (52 papers), Vector-Borne Animal Diseases (34 papers) and Animal Disease Management and Epidemiology (18 papers). Shuichi Hanada is often cited by papers focused on T-cell and Retrovirus Studies (52 papers), Vector-Borne Animal Diseases (34 papers) and Animal Disease Management and Epidemiology (18 papers). Shuichi Hanada collaborates with scholars based in Japan, United States and India. Shuichi Hanada's co-authors include Atae Utsunomiya, Masao Tomonaga, Kimiharu Uozumi, Terukatsu Arima, Kensei Tobinai, Fumio Kawano, Yasuo Kuwazuru, Y Takatsuka, Mitsutoshi Tara and Haruhiko Fukuda and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Lancet and Journal of Clinical Oncology.

In The Last Decade

Shuichi Hanada

79 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shuichi Hanada Japan 20 1.5k 985 738 436 354 83 2.2k
Y Takatsuka Japan 23 1.3k 0.9× 794 0.8× 563 0.8× 687 1.6× 713 2.0× 91 2.7k
Yoshio Saburi Japan 23 1.0k 0.7× 627 0.6× 533 0.7× 651 1.5× 322 0.9× 66 2.2k
Yoshitaka Imaizumi Japan 23 1.2k 0.8× 664 0.7× 508 0.7× 411 0.9× 367 1.0× 111 1.9k
Kisato Nosaka Japan 26 2.1k 1.4× 1.3k 1.3× 1.2k 1.7× 457 1.0× 643 1.8× 89 3.0k
Kimiharu Uozumi Japan 15 892 0.6× 557 0.6× 516 0.7× 220 0.5× 202 0.6× 63 1.3k
Mitsuo Kozuru Japan 16 563 0.4× 310 0.3× 214 0.3× 340 0.8× 322 0.9× 58 1.2k
Tomoko Hata Japan 22 681 0.5× 444 0.5× 380 0.5× 156 0.4× 387 1.1× 96 1.5k
Irvin A. Lampert United Kingdom 27 1.2k 0.8× 260 0.3× 263 0.4× 558 1.3× 333 0.9× 73 2.5k
Masakatsu Hishizawa Japan 20 758 0.5× 239 0.2× 198 0.3× 542 1.2× 413 1.2× 70 1.6k
Nobuyoshi Arima Japan 23 979 0.7× 211 0.2× 196 0.3× 421 1.0× 428 1.2× 88 1.9k

Countries citing papers authored by Shuichi Hanada

Since Specialization
Citations

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

Fields of papers citing papers by Shuichi Hanada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuichi Hanada

This figure shows the co-authorship network connecting the top 25 collaborators of Shuichi Hanada. A scholar is included among the top collaborators of Shuichi Hanada 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 Shuichi Hanada. Shuichi Hanada 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.
Tokunaga, Masahito, Kimiharu Uozumi, Yasuko Sagara, et al.. (2023). A decrease in newly diagnosed patients with adult T-cell leukemia/lymphoma in Kagoshima, a highly endemic area of HTLV-1 in southwestern Japan. Leukemia & lymphoma. 64(4). 865–873. 1 indexed citations
2.
Uto, Hirofumi, et al.. (2012). Serum prohepcidin levels are potential prognostic markers in patients with multiple myeloma. Experimental and Therapeutic Medicine. 4(4). 581–588. 5 indexed citations
3.
Tobinai, Kensei, Kunihiko Takeyama, Keiko Aikawa, et al.. (2007). Phase II study of chemotherapy and stem cell transplantation for adult acute lymphoblastic leukemia or lymphoblastic lymphoma: Japan Clinical Oncology Group study 9004. Cancer Science. 98(9). 1350–1357. 8 indexed citations
4.
Utsunomiya, Atae, Mitsutoshi Tara, Masayoshi Tokunaga, et al.. (2006). A Family Predisposition to Adult T-Cell Leukemia. Journal of Clinical and Experimental Hematopathology. 46(2). 67–71. 4 indexed citations
5.
6.
Tani, Ayako, Kimiharu Uozumi, Shuichi Hanada, et al.. (2001). Expression of functional lung resistance–related protein predicts poor outcome in adult T-cell leukemia. Blood. 98(4). 1160–1165. 52 indexed citations
7.
Utsunomiya, Atae, Yasushi Miyazaki, Y Takatsuka, et al.. (2001). Improved outcome of adult T cell leukemia/lymphoma with allogeneic hematopoietic stem cell transplantation. Bone Marrow Transplantation. 27(1). 15–20. 181 indexed citations
8.
Uozumi, Kimiharu, Y Takatsuka, Torahiko Makino, et al.. (1998). Granulocyte Colony-Stimulating Factor in the Combination Chemotherapy for Adult T-Cell Leukemia (ATL). Leukemia & lymphoma. 29(3-4). 407–414. 7 indexed citations
9.
10.
Uozumi, Kimiharu, T. Uematsu, Maki Otsuka, et al.. (1996). Serum dehydroepiandrosterone and DHEA-sulfate in patients with adult T-cell leukemia and human T-lymphotropic virus type I carriers. American Journal of Hematology. 53(3). 165–168. 7 indexed citations
11.
Uozumi, Kimiharu, Shuichi Hanada, Kenji Ishitsuka, et al.. (1995). Combination Chemotherapy (RCM Protocol: Response-Oriented Cyclic Multidrug Protocol) For the Acute or Lymphoma Type Adult T-cell Leukemia. Leukemia & lymphoma. 18(3-4). 317–323. 26 indexed citations
12.
Kodama, Masahiko, et al.. (1992). Tumor Necrosis Factor-β and Hypercalcemia. Leukemia & lymphoma. 7(5-6). 409–417. 7 indexed citations
13.
Heneine, Walid, et al.. (1991). HTLV-II and HTLV-I associated myelopathy. The Lancet. 338(8772). 944–945. 5 indexed citations
14.
Utsunomiya, Atae & Shuichi Hanada. (1990). Clinical and pathological features of gastrointestinal lesions in patients with adult T cell leukemia.. 30(5). 401–418. 13 indexed citations
15.
Kuwazuru, Yasuo, Akihiko Yoshimura, Shuichi Hanada, et al.. (1990). Expression of the multidrug transporter, P‐glycoprotein, in chronic myelogenous leukaemia cells in blast crisis. British Journal of Haematology. 74(1). 24–29. 82 indexed citations
16.
Utsunomiya, Atae, Shuichi Hanada, Tsutomu Miura, et al.. (1989). Clinicopathological hepatic study in 18 autopsied patients with adult T cell leukemia.. 29(3). 237–244. 1 indexed citations
17.
Utsunomiya, Atae, Tatsuo Makino, Takashi Saito, et al.. (1989). [Clinicopathological studies of the gastrointestinal tract in adult T-cell leukemia patients].. PubMed. 52(3). 623–9. 2 indexed citations
18.
Uematsu, T., Shuichi Hanada, M Iwahashi, et al.. (1988). The comparative study on the four methods (ELISA, PA, IF and WB method) of antibodies to adult T-cell leukemia-associated antigens.. Journal of the Japan Society of Blood Transfusion. 34(1). 22–29. 1 indexed citations
19.
Kuwazuru, Yasuo, Shuichi Hanada, T. Uematsu, et al.. (1988). [Pneumocystis carinii pneumonia in a HTLV-I carrier terminating with acute type of adult T-cell leukemia].. PubMed. 29(11). 2132–5. 3 indexed citations
20.
Uematsu, T., et al.. (1987). Lymphocyte subpopulations in hemodialysis patients. Journal of Japanese Society for Dialysis Therapy. 20(7). 505–509. 1 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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