Tomoko Haba

29 papers receiving 901 citations

Peers

Tomoko Haba
Comparison fields: 5 of 66
  • Obstetrics and Gynecology 185
  • Reproductive Medicine 138
  • Immunology and Allergy 88
  • Endocrinology, Diabetes and Metabolism 162
  • Immunology 141
Replace Esther Shih‐Chu Ho with:
Esther Shih‐Chu Ho Taiwan
H Pickartz Germany
Mehmet Kefeli Türkiye
Shunichi Sasou Japan
Pentti Lehtovirta Finland
Su-Su Xie United States
Ferdinando Marandino Italy
Rochelle A. Simon United States
I McDicken United Kingdom
Cleonice Bueno Brazil
Tomoko Haba relative to Esther Shih‐Chu Ho Taiwan Esther Shih‐Chu Ho's profile →
Citations per field
00.5×4.3×
Esther Shih‐Chu Ho · 1×
Citations per year

Countries citing papers authored by Tomoko Haba

Since Specialization
Citations

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

Fields of papers citing papers by Tomoko Haba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000165
2
Molecular evidence that most but not all carcinosarcomas of the uterus are combination tumors.
1997136
3 2003124
4 199982
5 200266
6 199744
7 200144
8 200435
9 200431
10 200126
11 199724
12 201024
13 200222
14 200312
15 200212
16 202012
17 200111
18
[Effect of elcatonin on experimental osteoporosis induced by ovariectomy and low calcium diet in beagles].
198411
19 20018
20 20028

About Tomoko Haba

Tomoko Haba is a scholar working on Oncology, Surgery, Pulmonary and Respiratory Medicine, Obstetrics and Gynecology and Molecular Biology, having authored 30 papers that have together received 928 indexed citations. Recurring topics across this work include Endometrial and Cervical Cancer Treatments (4 papers), Ovarian cancer diagnosis and treatment (4 papers), Sarcoma Diagnosis and Treatment (4 papers), Cancer and Skin Lesions (3 papers), Asthma and respiratory diseases (3 papers), Cancer Genomics and Diagnostics (3 papers), Cancer-related Molecular Pathways (3 papers) and Cervical Cancer and HPV Research (3 papers). The work is most often cited by research in Obstetrics and Gynecology (185 citations), Reproductive Medicine (138 citations), Immunology and Allergy (88 citations), Endocrinology, Diabetes and Metabolism (162 citations) and Immunology (141 citations). Tomoko Haba has collaborated with scholars based in Japan and United States. Frequent co-authors include Kenichi Wakasa, Kiyoshi Yoshino, Takayuki Enomoto, Yuichi Inoue, Yuji Murata, Toru Miura, Hiroichi Nagai, Kimishige Ishizaka, Miyuki Sato and Isao Serizawa. Their work appears in journals such as Oncology Reports, International Journal of Cancer, Pathology International, American Journal of Clinical Pathology and Acta Cytologica.

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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