Tsukasa Baba

11.4k citations
184 papers · 7.5k indexed · 3 hit papers · h-index 44

Impact in

Papers in

Tsukasa Baba

175 papers receiving 7.4k citations

Hit Papers

Tumor Immune Microenvironment during Epithelial–Mesenchymal Transition 2021 · 227 citations
2272015202620182022100200300400500

Peers

Tsukasa Baba
Comparison fields: 5 of 131
  • Reproductive Medicine 2.0k
  • Obstetrics and Gynecology 1.0k
  • Oncology 3.3k
  • Immunology 2.3k
  • Cancer Research 1.0k
Replace Ken Yamaguchi with:
Ken Yamaguchi Japan
Bo R. Rueda United States
Hidemichi Watari Japan
Jiro Fujimoto Japan
J. Dietl Germany
Katsutoshi Oda Japan
Nelly Auersperg Canada
Naoki Terakawa Japan
Irene Visintin United States
George D. Wilbanks United States
Tsukasa Baba relative to Ken Yamaguchi Japan Ken Yamaguchi's profile →
Citations per field
00.5×1.6×
Ken Yamaguchi · 1×
Citations per year

Countries citing papers authored by Tsukasa Baba

Since Specialization
Citations

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

Fields of papers citing papers by Tsukasa Baba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20251
3 20241
4 20241
5 20247
6 20239
7 20238
8 202210
9 20205
10 20205
11 20206
12 20174
13 20178
14 2016228
15 20169
16
Chemotherapy Induces Programmed Cell Death-Ligand 1 Overexpression via the Nuclear Factor-κB to Foster an Immunosuppressive Tumor Microenvironment in Ovarian Cancer
Hit paper breakdown →
2015437
17 201462
18 2013187
19 201133
20 200948

About Tsukasa Baba

Tsukasa Baba is a scholar working on Reproductive Medicine, Obstetrics and Gynecology, Oncology, Cancer Research and Immunology, having authored 184 papers that have together received 7.5k indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (66 papers), Endometrial and Cervical Cancer Treatments (47 papers), Cancer Immunotherapy and Biomarkers (21 papers), Endometriosis Research and Treatment (20 papers), Uterine Myomas and Treatments (20 papers), Immune Cell Function and Interaction (13 papers), Cervical Cancer and HPV Research (11 papers) and Cancer-related molecular mechanisms research (10 papers). The work is most often cited by research in Reproductive Medicine (2.0k citations), Obstetrics and Gynecology (1.0k citations), Oncology (3.3k citations), Immunology (2.3k citations) and Cancer Research (1.0k citations). Tsukasa Baba has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Noriomi Matsumura, Masaki Mandai, Ikuo Konishi, Junzo Hamanishi, Kaoru Abiko, Ken Yamaguchi, Susan K. Murphy, Ryusuke Murakami, Naoki Horikawa and Yumiko Yoshioka. Their work appears in journals such as Gynecologic Oncology, International Journal of Clinical Oncology, Journal of Gynecologic Oncology, Clinical Cancer Research and International Journal of Cancer.

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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