Eric Mas

2.2k citations
61 papers · 1.8k · h-index 25

Impact in

  • Immunology top 10%
    • Galectins and Cancer Biology
  • Surgery top 5%
    • Pancreatic function and diabetes

Papers in

    • Glycosylation and Glycoproteins Research 20
    • Enzyme Catalysis and Immobilization 5
    • Pancreatic function and diabetes 22

Eric Mas

61 papers receiving 1.8k citations

Peers

Eric Mas
Comparison fields: 5 of 88
  • Immunology 318
  • Surgery 597
  • Oncology 351
  • Molecular Biology 906
  • Endocrinology, Diabetes and Metabolism 170
Replace He‐Xin Yan with:
He‐Xin Yan China
Sharon Prince South Africa
Rey-Chen Pong United States
Anthony J. Raffo United States
Toshiya Nakatani Japan
Xuyong Wei China
Takuya Fukazawa Japan
Rasoul Salehi Iran
Jolanta Jura Poland
Wonhee Hur South Korea
Eric Mas relative to He‐Xin Yan China He‐Xin Yan's profile →
Citations per field
00.5×2×3×3.6×
He‐Xin Yan · 1×
Citations per year

Countries citing papers authored by Eric Mas

Since Specialization
Citations

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

Fields of papers citing papers by Eric Mas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005267
2 2020125
3 2008110
4 199884
5
Restoration of alpha(1,2) fucosyltransferase activity decreases adhesive and metastatic properties of human pancreatic cancer cells.
200080
6 201873
7 199671
8 200669
9 199956
10 199156
11 199355
12 199344
13 201840
14 200635
15 201434
16 202133
17 199332
18 199332
19 200032
20 201030

About Eric Mas

Eric Mas is a scholar working on Molecular Biology, Surgery, Oncology, Endocrinology, Diabetes and Metabolism and Genetics, having authored 61 papers that have together received 1.8k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (22 papers), Glycosylation and Glycoproteins Research (20 papers), Pancreatic and Hepatic Oncology Research (9 papers), Diabetes and associated disorders (8 papers), Diabetes Management and Research (7 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Immunotherapy and Immune Responses (5 papers) and Enzyme Catalysis and Immobilization (5 papers). The work is most often cited by research in Immunology (318 citations), Surgery (597 citations), Oncology (351 citations), Molecular Biology (906 citations) and Endocrinology, Diabetes and Metabolism (170 citations). Eric Mas has collaborated with scholars based in France, United States and Italy. Frequent co-authors include Dominique Lombardo, Laurence Panicot‐Dubois, C. Crotte, Véronique Sbarra, Françoise Silvy, Juan Iovanna, Anders Molven, Pål R. Njølstad, Mehdi Ouaïssi and Lage Aksnes. Their work appears in journals such as Oncotarget, Glycobiology, Biochemical Journal, International Journal of Cancer and European Journal of Biochemistry.

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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