Shin Kobayashi

1.6k total citations
74 papers, 1.0k citations indexed

About

Shin Kobayashi is a scholar working on Surgery, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Shin Kobayashi has authored 74 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Surgery, 42 papers in Oncology and 22 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Shin Kobayashi's work include Pancreatic and Hepatic Oncology Research (23 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (21 papers) and Hepatocellular Carcinoma Treatment and Prognosis (21 papers). Shin Kobayashi is often cited by papers focused on Pancreatic and Hepatic Oncology Research (23 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (21 papers) and Hepatocellular Carcinoma Treatment and Prognosis (21 papers). Shin Kobayashi collaborates with scholars based in Japan, United States and Thailand. Shin Kobayashi's co-authors include Goro Honda, Yukihiro Okuda, Masanao Kurata, Katsunori Sakamoto, Naoto Gotohda, Shinichiro Takahashi, Masaru Konishi, Motokazu Sugimoto, Keiichi Takahashi and Sosuke Tadano and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Annals of Surgery.

In The Last Decade

Shin Kobayashi

68 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shin Kobayashi Japan 19 627 473 463 342 184 74 1.0k
Paolo Magistri Italy 20 709 1.1× 444 0.9× 443 1.0× 464 1.4× 167 0.9× 101 1.2k
Akishige Kanazawa Japan 17 485 0.8× 274 0.6× 523 1.1× 270 0.8× 228 1.2× 91 896
Takafumi Abo Japan 21 764 1.2× 476 1.0× 588 1.3× 485 1.4× 336 1.8× 101 1.4k
Renato Micelli Lupinacci France 18 651 1.0× 553 1.2× 199 0.4× 287 0.8× 114 0.6× 71 963
Kit‐Fai Lee China 22 739 1.2× 379 0.8× 887 1.9× 427 1.2× 464 2.5× 86 1.4k
Masatoshi Isogai Japan 18 759 1.2× 463 1.0× 374 0.8× 445 1.3× 278 1.5× 109 1.2k
Alessandro Valdegamberi Italy 18 980 1.6× 667 1.4× 567 1.2× 568 1.7× 426 2.3× 32 1.4k
Karim A. Gawad Germany 13 660 1.1× 357 0.8× 274 0.6× 270 0.8× 127 0.7× 18 919
Jiro Ohuchida Japan 21 945 1.5× 755 1.6× 298 0.6× 508 1.5× 298 1.6× 62 1.3k
Wong Hoi She Hong Kong 16 414 0.7× 309 0.7× 365 0.8× 268 0.8× 182 1.0× 66 800

Countries citing papers authored by Shin Kobayashi

Since Specialization
Citations

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

Fields of papers citing papers by Shin Kobayashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shin Kobayashi

This figure shows the co-authorship network connecting the top 25 collaborators of Shin Kobayashi. A scholar is included among the top collaborators of Shin Kobayashi 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 Shin Kobayashi. Shin Kobayashi 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.
Yajima, Shugo, et al.. (2025). Current Status and Future Perspectives of Molecular Residual Disease Testing in Genitourinary Cancers. International Journal of Urology. 32(12). 1735–1745. 1 indexed citations
2.
Yajima, Shugo, Shin Kobayashi, Tadayoshi Hashimoto, & Hitoshi Masuda. (2025). Physical activity in older cancer patients: evidence and clinical implications. Frontiers in Oncology. 15. 1613268–1613268.
4.
Kojima, Motohiro, Toshiyuki Suzuki, Genichiro Ishii, et al.. (2023). Relationships between physical and immunological tumor microenvironment in pancreatic ductal adenocarcinoma. Cancer Science. 114(9). 3783–3792. 3 indexed citations
6.
Ito, Masaaki, Shin Kobayashi, Daichi Kitaguchi, et al.. (2022). Automated surgical workflow identification by artificial intelligence in laparoscopic hepatectomy: Experimental research. International Journal of Surgery. 105. 106856–106856. 13 indexed citations
7.
Kudo, Masashi, Naoto Gotohda, Motokazu Sugimoto, et al.. (2021). The Assessment of Regional Liver Function Before Major Hepatectomy Using Magnetic Resonance Imaging. The American Surgeon. 88(9). 2353–2360. 3 indexed citations
8.
Sakamoto, Katsunori, Goro Honda, Toru Beppu, et al.. (2020). Comprehensive data of 3525 patients newly diagnosed with colorectal liver metastasis between 2013 and 2014: 2nd report of a nationwide survey in Japan. Journal of Hepato-Biliary-Pancreatic Sciences. 27(8). 555–562. 7 indexed citations
9.
Kobayashi, Shin, Shinichiro Takahashi, Naoki Takahashi, et al.. (2020). Survival Outcomes of Resected BRAF V600E Mutant Colorectal Liver Metastases: A Multicenter Retrospective Cohort Study in Japan. Annals of Surgical Oncology. 27(9). 3307–3315. 16 indexed citations
10.
Kudo, Masashi, Tatsushi Kobayashi, Naoto Gotohda, et al.. (2020). Clinical Utility of Histological and Radiological Evaluations of Tumor Necrosis for Predicting Prognosis in Pancreatic Cancer. Pancreas. 49(5). 634–641. 12 indexed citations
11.
Sugimoto, Motokazu, Michael L. Kendrick, Michael B. Farnell, et al.. (2019). Relationship between pancreatic thickness and staple height is relevant to the occurrence of pancreatic fistula after distal pancreatectomy. HPB. 22(3). 398–404. 14 indexed citations
12.
Kojima, Motohiro, Toshihiro Suzuki, Motokazu Sugimoto, et al.. (2018). Profiling the Tumour Immune Microenvironment in Pancreatic Neuroendocrine Neoplasms with Multispectral Imaging Indicates Distinct Subpopulation Characteristics Concordant with WHO 2017 Classification. Scientific Reports. 8(1). 13166–13166. 51 indexed citations
14.
Gotohda, Naoto, Motokazu Sugimoto, Shogo Nomura, et al.. (2018). Abdominal skin closure using subcuticular sutures prevents incisional surgical site infection in hepatopancreatobiliary surgery. Surgery. 164(2). 251–256. 6 indexed citations
15.
Okuda, Yukihiro, et al.. (2017). Intrahepatic Glissonean Pedicle Approach to Segment 7 from the Dorsal Side During Laparoscopic Anatomic Hepatectomy of the Cranial Part of the Right Liver. Journal of the American College of Surgeons. 226(2). e1–e6. 30 indexed citations
16.
Kobayashi, Shin, Goro Honda, Masanao Kurata, et al.. (2015). An Experimental Study on the Relationship Among Airway Pressure, Pneumoperitoneum Pressure, and Central Venous Pressure in Pure Laparoscopic Hepatectomy. Annals of Surgery. 263(6). 1159–1163. 69 indexed citations
17.
Honda, Goro, Masanao Kurata, Yukihiro Okuda, et al.. (2014). Totally Laparoscopic Anatomical Hepatectomy Exposing the Major Hepatic Veins from the Root Side: a Case of the Right Anterior Sectorectomy (with Video). Journal of Gastrointestinal Surgery. 18(7). 1379–1380. 28 indexed citations
18.
Okuda, Yukihiro, Goro Honda, Masanao Kurata, & Shin Kobayashi. (2012). Useful and convenient procedure for intermittent vascular occlusion in laparoscopic hepatectomy. Asian Journal of Endoscopic Surgery. 6(2). 100–103. 31 indexed citations
19.
Kobayashi, Shin. (2008). Fournier’s gangrene. The American Journal of Surgery. 195(2). 257–258. 6 indexed citations
20.
Kobayashi, Shin. (2006). Hematoma in the Space of Retzius. The Journal of Trauma: Injury, Infection, and Critical Care. 61(6). 1556–1556. 1 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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