Tomoko Haruma

17 papers receiving 378 citations

Peers

Tomoko Haruma
Comparison fields: 5 of 38
  • Obstetrics and Gynecology 124
  • Oncology 202
  • Reproductive Medicine 54
  • Cancer Research 39
  • Pathology and Forensic Medicine 38
Replace Giusi Santangelo with:
Giusi Santangelo Italy
Shari Thomas United States
Junko Haraga Japan
Akira Yabuno Japan
Suk Bong Koh South Korea
Pratibha Binder United States
H.W.H.M. van der Putten Netherlands
Tashanna Myers United States
Fiona Nussey United Kingdom
Ümran Küçükgöz Güleç Türkiye
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Citations per field
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Giusi Santangelo · 1×
Citations per year

Countries citing papers authored by Tomoko Haruma

Since Specialization
Citations

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

Fields of papers citing papers by Tomoko Haruma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 201670
2
Pre-treatment neutrophil to lymphocyte ratio is a predictor of prognosis in endometrial cancer.
201553
3 201834
4 201534
5 201634
6 201229
7 201324
8 201823
9 201621
10 201615
11 201311
12 201710
13 20207
14 20157
15 20234
16 20204
17 20222

About Tomoko Haruma

Tomoko Haruma is a scholar working on Oncology, Obstetrics and Gynecology, Reproductive Medicine, Pathology and Forensic Medicine and Immunology, having authored 17 papers that have together received 382 indexed citations. Recurring topics across this work include Endometrial and Cervical Cancer Treatments (6 papers), Inflammatory Biomarkers in Disease Prognosis (5 papers), Ovarian cancer diagnosis and treatment (4 papers), Reproductive System and Pregnancy (2 papers), Genetic factors in colorectal cancer (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Endometriosis Research and Treatment (1 paper) and MRI in cancer diagnosis (1 paper). The work is most often cited by research in Obstetrics and Gynecology (124 citations), Oncology (202 citations), Reproductive Medicine (54 citations), Cancer Research (39 citations) and Pathology and Forensic Medicine (38 citations). Tomoko Haruma has collaborated with scholars based in Japan and United States. Frequent co-authors include Keiichiro Nakamura, Yuji Hiramatsu, Tomoyuki Kusumoto, Noriko Seki, Takeshi Nishida, Hisashi Masuyama, Junko Haraga, Chikako Ogawa, Takeshi Nagasaka and Ikuo Joja. Their work appears in journals such as European Journal of Obstetrics & Gynecology and Reproductive Biology, Journal of Translational Medicine, Cancer Medicine, International Journal of Gynecological Cancer and Japanese Journal of Clinical 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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