Koichi Tomita

2.5k total citations
95 papers, 1.9k citations indexed

About

Koichi Tomita is a scholar working on Surgery, Molecular Biology and Oncology. According to data from OpenAlex, Koichi Tomita has authored 95 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Surgery, 20 papers in Molecular Biology and 17 papers in Oncology. Recurrent topics in Koichi Tomita's work include Pancreatic and Hepatic Oncology Research (11 papers), Hepatocellular Carcinoma Treatment and Prognosis (10 papers) and Cardiac, Anesthesia and Surgical Outcomes (7 papers). Koichi Tomita is often cited by papers focused on Pancreatic and Hepatic Oncology Research (11 papers), Hepatocellular Carcinoma Treatment and Prognosis (10 papers) and Cardiac, Anesthesia and Surgical Outcomes (7 papers). Koichi Tomita collaborates with scholars based in Japan, United States and France. Koichi Tomita's co-authors include Ryoichiro Kageyama, Tomoyuki Inoue, Jun Hatakeyama, Toshiyuki Ohtsuka, Mākoto Ishibashi, Koichi Takebayashi, Akinori Noma, Satoshi Matsuoka, Fumi Miyagawa and Nagahiro Minato and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Koichi Tomita

85 papers receiving 1.9k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Koichi Tomita Japan 18 1.1k 295 258 205 205 95 1.9k
Yasukazu Hozumi Japan 29 1.3k 1.2× 316 1.1× 347 1.3× 518 2.5× 204 1.0× 107 2.3k
Dominador J. Manalo United States 11 1.3k 1.2× 277 0.9× 154 0.6× 301 1.5× 93 0.5× 13 2.5k
Daniela Virgintino Italy 30 862 0.8× 400 1.4× 144 0.6× 316 1.5× 46 0.2× 94 2.3k
Mariella Errede Italy 27 861 0.8× 273 0.9× 119 0.5× 256 1.2× 42 0.2× 75 2.1k
Olivia Wendling France 23 1.8k 1.7× 243 0.8× 213 0.8× 186 0.9× 58 0.3× 37 2.6k
Annika Keller Switzerland 19 1.0k 1.0× 261 0.9× 186 0.7× 234 1.1× 23 0.1× 38 2.5k
Josef G. Heuer United States 20 818 0.8× 302 1.0× 121 0.5× 193 0.9× 30 0.1× 34 1.7k
Kin Ming Kwan Hong Kong 26 1.9k 1.8× 206 0.7× 203 0.8× 524 2.6× 40 0.2× 51 2.8k
Véronique Brault France 21 2.0k 1.9× 305 1.0× 206 0.8× 239 1.2× 35 0.2× 30 2.7k
Maha S. Zaki Egypt 27 1.2k 1.1× 248 0.8× 158 0.6× 326 1.6× 49 0.2× 147 2.4k

Countries citing papers authored by Koichi Tomita

Since Specialization
Citations

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

Fields of papers citing papers by Koichi Tomita

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Koichi Tomita

This figure shows the co-authorship network connecting the top 25 collaborators of Koichi Tomita. A scholar is included among the top collaborators of Koichi Tomita based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Koichi Tomita. Koichi Tomita is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Fukuta, Shoji, et al.. (2025). Pullout strength of screws used for baseplate fixation in reverse shoulder arthroplasty: a cadaveric study. Seminars in Arthroplasty JSES. 35(3). 464–470.
2.
Iwama, Kazuto, Masashi Nakagawa, Takahiro Gunji, et al.. (2025). Predictive factors for disseminated intravascular coagulation following colorectal perforation. The American Journal of Surgery. 244. 116335–116335.
3.
Sakai, Takehiko, Goro Kutomi, Tadahiko Shien, et al.. (2023). The Japanese Breast Cancer Society Clinical Practice Guidelines for surgical treatment of breast cancer, 2022 edition. Breast Cancer. 31(1). 1–7. 7 indexed citations
4.
Fukuda, Junya, Kazunori Matsuda, Go Sato, et al.. (2021). Effects of Betahistine on the Development of Vestibular Compensation after Unilateral Labyrinthectomy in Rats. Brain Sciences. 11(3). 360–360. 9 indexed citations
5.
Tomita, Koichi, Masashi Nakagawa, Takahiro Gunji, et al.. (2021). A New Preoperative Risk Score for Predicting Postoperative Complications in Elderly Patients Undergoing Hepatectomy. World Journal of Surgery. 45(6). 1868–1876. 6 indexed citations
6.
Chiba, Naokazu, Yuta Abe, Masashi Nakagawa, et al.. (2021). Efficacy of the Milan criteria as a prognostic factor in patients with colorectal liver metastases. Langenbeck s Archives of Surgery. 406(4). 1129–1138. 4 indexed citations
7.
Tomita, Koichi, et al.. (2020). Prognostic Significance of Plasma Fibrinogen/Serum Albumin Ratio in the Postoperative Outcome of Pancreatic Ductal Adenocarcinoma. Anticancer Research. 40(12). 7017–7023. 5 indexed citations
8.
Tomita, Koichi, Naokazu Chiba, Yuichi Nagakawa, et al.. (2019). [A Case of Early Rectal Cancer Recurring as Liver Metastasis Nine Months after ESD].. PubMed. 46(13). 2285–2287. 2 indexed citations
9.
Chiba, Naokazu, et al.. (2018). Surgical Technique of Pancreatic Parenchyma Transection-Delayed Approach (PPTDA) in Hepatopancreatoduodenectomy for Hilar Cholangiocarcinoma. Journal of Gastrointestinal Surgery. 23(3). 613–616. 6 indexed citations
10.
Iwamoto, Hitoshi, Yuki Nakamura, Osamu Konno, et al.. (2016). Immunosuppressive Therapy for Elderly Kidney Transplant Recipients. Transplantation Proceedings. 48(3). 799–801. 6 indexed citations
11.
Hayashi, Yoshitaka, Masae Naruse, Koichi Tomita, et al.. (2014). Bre1a, a Histone H2B Ubiquitin Ligase, Regulates the Cell Cycle and Differentiation of Neural Precursor Cells. Journal of Neuroscience. 34(8). 3067–3078. 18 indexed citations
12.
13.
Tomita, Koichi, et al.. (2012). A Molecular Correlate of Ocular Dominance Columns in the Developing Mammalian Visual Cortex. Cerebral Cortex. 23(11). 2531–2541. 12 indexed citations
14.
Usui, Noriyoshi, Keisuke Watanabe, Katsuhiko Ono, et al.. (2012). Role of motoneuron-derived neurotrophin 3 in survival and axonal projection of sensory neurons during neural circuit formation. Development. 139(6). 1125–1132. 27 indexed citations
15.
Tomita, Koichi, Kenji Yano, & Ko Hosokawa. (2011). Recovery of Sensation in Immediate Breast Reconstruction With Latissimus Dorsi Myocutaneous Flaps After Breast-Conservative Surgery and Skin-Sparing Mastectomy. Annals of Plastic Surgery. 66(4). 334–338. 14 indexed citations
16.
Hatakeyama, Jun, Koichi Tomita, Tomoyuki Inoue, & Ryoichiro Kageyama. (2001). Roles of homeobox and >bHLH genes in specification of a retinal cell type. Development. 128(8). 1313–1322. 198 indexed citations
17.
Kageyama, Ryoichiro, Toshiyuki Ohtsuka, & Koichi Tomita. (2000). The bHLH Gene Hes1 Regulates Differentiation of Multiple Cell Types. Molecules and Cells. 10(1). 1–7. 128 indexed citations
18.
Nakamura, Eijiro, Masaki Satō, Hailin Yang, et al.. (1999). 4F2 (CD98) Heavy Chain Is Associated Covalently with an Amino Acid Transporter and Controls Intracellular Trafficking and Membrane Topology of 4F2 Heterodimer. Journal of Biological Chemistry. 274(5). 3009–3016. 277 indexed citations
19.
Nishimura, G, Hiroki Kitagawa, Sachio Fushida, et al.. (1999). [Surgery for metastatic brain and spinal tumor from colorectal cancer].. PubMed. 26(12). 1825–7. 1 indexed citations
20.
Ikemoto, Shigenori, et al.. (1987). Genetic Polymorphism of PIF Proteins in a Japanese Population. Human Heredity. 37(4). 263–264. 3 indexed citations

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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