M. Imoto

639 citations
8 papers · 492 · h-index 6

Impact in

    • Pancreatic and Hepatic Oncology Research
    • TGF-β signaling in diseases
    • Kruppel-like factors research
    • Cancer-related gene regulation
    • Mitochondrial Function and Pathology

Papers in

    • Pancreatic and Hepatic Oncology Research 5
    • Pancreatitis Pathology and Treatment 3
    • Gastrointestinal disorders and treatments 2
    • Pancreatic function and diabetes 1

M. Imoto

8 papers receiving 477 citations

Peers

M. Imoto
Comparison fields: 5 of 58
  • Oncology 167
  • Molecular Biology 293
  • Surgery 163
  • Clinical Biochemistry 16
  • Cell Biology 33
Replace Shigeki Moriizumi with:
Shigeki Moriizumi Japan
Tomoko Toga Japan
Salim Maa Bared Germany
Kirsty R. Greenow United Kingdom
María Roqué Argentina
Daniela Liberati Italy
Spencer Slavin United States
Hiroyuki Tsuruta Japan
P. Salers France
Bole Tian China
M. Imoto relative to Shigeki Moriizumi Japan Shigeki Moriizumi's profile →
Citations per field
00.5×
Shigeki Moriizumi · 1×
Citations per year

Countries citing papers authored by M. Imoto

Since Specialization
Citations

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

Fields of papers citing papers by M. Imoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside M. Imoto, 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 M. Imoto Line = papers co-authored together M. Imoto links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 1997199
2 199888
3 200069
4 200151
5 199844
6 200335
7
Effects of macrophage colony-stimulating factor on the proliferation and the function of Kupffer cells.
19935
8 19981

About M. Imoto

M. Imoto is a scholar working on Oncology, Surgery, Molecular Biology, Epidemiology and Cell Biology, having authored 8 papers that have together received 492 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (5 papers), Pancreatitis Pathology and Treatment (3 papers), Renal and related cancers (2 papers), Gastrointestinal disorders and treatments (2 papers), Pancreatic function and diabetes (1 paper), Kruppel-like factors research (1 paper), TGF-β signaling in diseases (1 paper) and Genetic and Kidney Cyst Diseases (1 paper). The work is most often cited by research in Oncology (167 citations), Molecular Biology (293 citations), Surgery (163 citations), Clinical Biochemistry (16 citations) and Cell Biology (33 citations). M. Imoto has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Raúl Urrutia, Eugene P. DiMagno, Issei Tachibana, Malayannan Subramaniam, Thomas C. Spelsberg, Gregory J. Gores, Mark Lankisch, Peter Layer, Massimo Raimondo and Brian Gebelein. Their work appears in journals such as Journal of Clinical Investigation, Gastroenterology, Mayo Clinic Proceedings, Pancreas and Clinical Gastroenterology and Hepatology.

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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