A Yam

580 citations
15 papers · 537 · h-index 10

Impact in

  • Hepatology top 10%
    • Liver physiology and pathology
  • Cell Biology top 10%
    • Cellular transport and secretion
    • Endoplasmic Reticulum Stress and Disease

Papers in

    • Glutathione Transferases and Polymorphisms 2
    • Glycosylation and Glycoproteins Research 1
    • Pancreatic function and diabetes 4

A Yam

14 papers receiving 454 citations

Peers

A Yam
Comparison fields: 5 of 70
  • Hepatology 88
  • Cell Biology 186
  • Surgery 187
  • Biochemistry 34
  • Physiology 99
Replace Waka Omata with:
Waka Omata Japan
M. Cecilia Larocca Argentina
Amy S. Mauer United States
Odile Lecoq France
A. LeCam United States
Doris Nitsch Germany
M.C.M. van Dijk Netherlands
Ikuko Tsujimoto Japan
Mi Ra An United States
Yukari Yamane Japan
A Yam relative to Waka Omata Japan Waka Omata's profile →
Citations per field
00.5×1.5×2.3×
Waka Omata · 1×
Citations per year

Countries citing papers authored by A Yam

Since Specialization
Citations

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

Fields of papers citing papers by A Yam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside A Yam, 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 A Yam Line = papers co-authored together A Yam links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 1977118
2 198387
3 197873
4
Blast-like cell compartment in carcinogen-induced proliferating bile ductules.
199661
5
Characterizations of and interactions between bile ductule cells and hepatocytes in early stages of rat hepatocarcinogenesis induced by ethionine.
199152
6 197534
7 197831
8 197923
9 198322
10 198118
11 19797
12 19856
13 19774
14 20241
15 20100

About A Yam

A Yam is a scholar working on Molecular Biology, Surgery, Epidemiology, Pediatrics, Perinatology and Child Health and Clinical Biochemistry, having authored 15 papers that have together received 537 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (4 papers), Liver Disease Diagnosis and Treatment (3 papers), Metabolism and Genetic Disorders (2 papers), Cellular transport and secretion (2 papers), Diet, Metabolism, and Disease (2 papers), Glutathione Transferases and Polymorphisms (2 papers), Biomedical Research and Pathophysiology (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Hepatology (88 citations), Cell Biology (186 citations), Surgery (187 citations), Biochemistry (34 citations) and Physiology (99 citations). A Yam has collaborated with scholars based in United States, Hong Kong and China. Frequent co-authors include Phyllis M. Novikoff, Alex B. Novikoff, Makoto Mori, Nelson Quintana, Oscar Touster, Daulat R.P. Tulsiani, Takayoshi Ikeda, Douglas C. Hixson, Richard J. Stockert and Wayne Levin. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Cell Biology, European Journal of Obstetrics & Gynecology and Reproductive Biology, Journal of Histochemistry & Cytochemistry and Journal of Thoracic Disease.

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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