Satoshi Baba

3.4k citations
165 papers · 2.7k · h-index 30

Impact in

Papers in

Satoshi Baba

154 papers receiving 2.6k citations

Peers

Satoshi Baba
Comparison fields: 5 of 115
  • Hepatology 291
  • Neurology 168
  • Cancer Research 259
  • Oncology 451
  • Surgery 659
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Nader Najafian United States
Miguel Ángel López‐Nevot Spain
Yong S. Chang United States
Anne Spurkland Norway
Marc Martínez‐Llordella United Kingdom
Kathleen Claes Belgium
Gerda Horst Netherlands
José C. Crispín United States
Sheng Xiao United States
Noelyn M. Kljavin United States
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Citations per field
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Citations per year

Countries citing papers authored by Satoshi Baba

Since Specialization
Citations

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

Fields of papers citing papers by Satoshi Baba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 165 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000133
2 200298
3
Prevention of hepatic metastasis of human colon cancer by angiogenesis inhibitor TNP-470.
199595
4 201593
5 201188
6 200782
7
Detection of K-ras mutations in DNAs isolated from feces of patients with colorectal tumors by mutant-allele-specific amplification (MASA).
199575
8 201571
9 200071
10 200466
11 199760
12
Significance of hepatic vein reconstruction in hepatectomy.
199360
13 201355
14 201351
15 201447
16 201746
17 201643
18 200341
19 200341
20 200341

About Satoshi Baba

Satoshi Baba is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Oncology, Molecular Biology and Epidemiology, having authored 165 papers that have together received 2.7k indexed citations. Recurring topics across this work include Amyloidosis: Diagnosis, Treatment, Outcomes (13 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (9 papers), Hepatocellular Carcinoma Treatment and Prognosis (8 papers), Cytomegalovirus and herpesvirus research (8 papers), Pancreatic and Hepatic Oncology Research (8 papers), Genetic factors in colorectal cancer (7 papers), Medical Imaging and Pathology Studies (6 papers) and Gastrointestinal disorders and treatments (6 papers). The work is most often cited by research in Hepatology (291 citations), Neurology (168 citations), Cancer Research (259 citations), Oncology (451 citations) and Surgery (659 citations). Satoshi Baba has collaborated with scholars based in Japan, United States and Russia. Frequent co-authors include Shohachi Suzuki, Hiroyuki Konno, Takanori Sakaguchi, Hiroyuki Konno, Satoshi Nakamura, Isao Kosugi, Keisuke Inaba, Satoshi Nakamura, Yuichiro Shinmura and Yoshihiro Yokoi. Their work appears in journals such as Surgery Today, Pathology International, Journal of Surgical Research, Journal of Gastroenterology and World Journal of Surgery.

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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