Eric Mas

2.2k citations
60 papers · 1.7k · 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 4
    • Pancreatic function and diabetes 21

Eric Mas

60 papers receiving 1.7k citations

Peers

Eric Mas
Comparison fields: 5 of 87
  • Immunology 306
  • Surgery 575
  • Oncology 339
  • Molecular Biology 846
  • Endocrinology, Diabetes and Metabolism 160
Replace He‐Xin Yan with:
He‐Xin Yan China
Sharon Prince South Africa
Vinicio Carloni Italy
Toshiya Nakatani Japan
Rey-Chen Pong United States
Xuyong Wei China
Anthony J. Raffo United States
Takuya Fukazawa Japan
Rasoul Salehi Iran
Daxin Chen United Kingdom
Eric Mas relative to He‐Xin Yan China He‐Xin Yan's profile →
Citations per field
00.5×3.6×
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 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005252
2 2020124
3 200897
4
Restoration of alpha(1,2) fucosyltransferase activity decreases adhesive and metastatic properties of human pancreatic cancer cells.
200078
5 199877
6 199669
7 200663
8 201862
9 199955
10 199153
11 199350
12 199343
13 201835
14 200634
15 202133
16 201433
17 199331
18 199331
19 200030
20 199728

About Eric Mas

Eric Mas is a scholar working on Molecular Biology, Surgery, Oncology, Endocrinology, Diabetes and Metabolism and Genetics, having authored 60 papers that have together received 1.7k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (21 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 (4 papers). The work is most often cited by research in Immunology (306 citations), Surgery (575 citations), Oncology (339 citations), Molecular Biology (846 citations) and Endocrinology, Diabetes and Metabolism (160 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, Mehdi Ouaïssi, Pål R. Njølstad, Anders Molven and Stefan Johansson. Their work appears in journals such as Oncotarget, Glycobiology, Journal of Biological Chemistry, European Journal of Biochemistry and Biochemical Journal.

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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