M. Imoto

640 citations
8 papers · 499 · h-index 6

Impact in

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

Papers in

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

M. Imoto

8 papers receiving 482 citations

Peers

M. Imoto
Comparison fields: 5 of 51
  • Molecular Biology 288
  • Oncology 104
  • Surgery 160
  • Clinical Biochemistry 16
  • Cell Biology 32
Replace Salim Maa Bared with:
Salim Maa Bared Germany
Amy Leahy United States
J.P. Leek United Kingdom
P. Salers France
Iris Treinies Germany
Н. Л. Лазаревич Russia
Tatiana Favez Switzerland
Amanda Mawson Australia
George F. Fellows Canada
Edith Renaud-Gabardos France
M. Imoto relative to Salim Maa Bared Germany Salim Maa Bared's profile →
Citations per field
00.5×1.5×2.2×
Salim Maa Bared · 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 1997201
2 199891
3 200070
4 200152
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 Surgery, Oncology, Molecular Biology, Cell Biology and Genetics, having authored 8 papers that have together received 499 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (3 papers), Pancreatitis Pathology and Treatment (2 papers), Renal and related cancers (2 papers), Kruppel-like factors research (1 paper), Pancreatic function and diabetes (1 paper), Cancer-related gene regulation (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper) and Gastrointestinal disorders and treatments (1 paper). The work is most often cited by research in Molecular Biology (288 citations), Oncology (104 citations), Surgery (160 citations), Clinical Biochemistry (16 citations) and Cell Biology (32 citations). M. Imoto has collaborated with scholars based in United States, Japan and Ireland. 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, Journal of Cell Science 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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