Tatsuya Takagi

7.2k citations
250 papers · 5.1k indexed · 1 hit paper · h-index 34

Tatsuya Takagi

224 papers receiving 4.9k citations

Hit Papers

Mordred: a molecular descriptor calculator9492018202620202023250500750

Peers

Tatsuya Takagi
Comparison fields: 5 of 187
  • Computational Theory and Mathematics 675
  • Rheumatology 383
  • Oral Surgery 168
  • Agronomy and Crop Science 233
  • Surgery 973
Replace Marc B. Brown with:
Marc B. Brown United Kingdom
Yan Li China
William C. Cho China
Hiroshi Tanaka Japan
Shuwen Liu China
Zhiwei Chen China
Rakesh Kumar Sharma India
John A. Lewis United States
Kai Zhang China
Hongtao Zhang China
Tatsuya Takagi relative to Marc B. Brown United Kingdom Marc B. Brown's profile →
Citations per field
00.5×4.7×
Marc B. Brown · 1×
Citations per year

Countries citing papers authored by Tatsuya Takagi

Since Specialization
Citations

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

Fields of papers citing papers by Tatsuya Takagi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20231
3 20223
4 20223
5 202123
6 20214
7 202015
8 20207
9 20193
10 2019101
11 20198
12 20196
13 201923
14
A case of secondary chondrosarcoma with TP53 mutation arising from fibrous dysplasia
20160
15 20129
16 20101
17 20091
18 20081
19
[Comparison of antiemetic efficacy of 5-HT3 receptor antagonists in orthopedics cancer patients receiving high-dose chemotherapy].
20074
20
[Primary intracranial malignant epidermoid--case report].
19957

About Tatsuya Takagi

Tatsuya Takagi is a scholar working on Rheumatology, Spectroscopy and Oral Surgery, having authored 250 papers that have together received 5.1k indexed citations. Recurring topics across this work include Sarcoma Diagnosis and Treatment (34 papers), Computational Drug Discovery Methods (21 papers), Bone Tumor Diagnosis and Treatments (19 papers), Pancreatic function and diabetes (14 papers), Analytical Chemistry and Chromatography (13 papers), Management of metastatic bone disease (13 papers), Influenza Virus Research Studies (12 papers) and Cancer Diagnosis and Treatment (12 papers). The work is most often cited by research in Computational Theory and Mathematics (675 citations), Rheumatology (383 citations) and Oral Surgery (168 citations). Tatsuya Takagi has collaborated with scholars based in Japan, United States and Egypt. Frequent co-authors include Norihito Kawashita, Yu‐Shi Tian, Hirotomo Moriwaki, Hiroo Iwata, Hirohisa Katagiri, Mitsuru Takahashi, Yoshiyuki Suehara, Tsuyoshi Saito, Kazuo Kaneko and Kousuke Okamoto. Their work appears in journals such as Journal of the American Chemical Society, SHILAP Revista de lepidopterología and Applied Physics Letters.

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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