Hideko Goto

30 papers receiving 460 citations

Peers

Hideko Goto
Comparison fields: 5 of 63
  • Pathology and Forensic Medicine 202
  • Genetics 83
  • Hematology 63
  • Biological Psychiatry 13
  • Neurology 66
Replace Mizu Kojima with:
Mizu Kojima Japan
Shoko Nakayama Japan
Taiji Yokote Japan
Grégory Lazarian France
Kazuyoshi Kajimoto Japan
Kouichi Ohshima Japan
Toshikazu Akioka Japan
Ivo Radman Croatia
Öner Doğan Türkiye
Nadine Francotte Belgium
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Citations per field
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Citations per year

Countries citing papers authored by Hideko Goto

Since Specialization
Citations

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

Fields of papers citing papers by Hideko Goto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200459
2 201157
3 200041
4 199532
5 200632
6 200229
7 201828
8 201125
9 200019
10 200919
11 200318
12 200917
13 202114
14 200913
15
[Acute promyelocytic leukemia accompanied by scrotal Fournier's gangrene during ATRA treatment and relapsed as external ear tumor].
199812
16 201611
17 202010
18 20059
19
Risk factors for developing infusion reaction after rituximab administration in patients with B-cell non-Hodgkin's lymphoma.
20158
20
[A case of pulmonary infection due to Mycobacterium simiae].
20054

About Hideko Goto

Hideko Goto is a scholar working on Pathology and Forensic Medicine, Oncology, Genetics, Neurology and Hematology, having authored 33 papers that have together received 478 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (18 papers), Viral-associated cancers and disorders (6 papers), CNS Lymphoma Diagnosis and Treatment (5 papers), Chronic Lymphocytic Leukemia Research (4 papers), Acute Myeloid Leukemia Research (3 papers), Chronic Myeloid Leukemia Treatments (3 papers), Lung Cancer Treatments and Mutations (3 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (202 citations), Genetics (83 citations), Hematology (63 citations), Biological Psychiatry (13 citations) and Neurology (66 citations). Hideko Goto has collaborated with scholars based in Japan. Frequent co-authors include Hisashi Tsurumi, Hisataka Moriwaki, Senji Kasahara, Kenji Fukuno, Takeshi Hara, Toshiki Yamada, Michio Sawada, Tsuyoshi Takami, Shinobu Tanabashi and Naoe Goto. Their work appears in journals such as Journal of Cancer Research and Clinical Oncology, European Journal Of Haematology, Hematological Oncology, Annals of Hematology and Journal of Chromatography A.

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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