Marc Glucksman

3.6k citations
53 papers · 2.6k · h-index 28

Impact in

Papers in

Marc Glucksman

52 papers receiving 2.5k citations

Peers

Marc Glucksman
Comparison fields: 5 of 116
  • Cellular and Molecular Neuroscience 518
  • Cancer Research 308
  • Oncology 504
  • Molecular Biology 1.4k
  • Hematology 210
Replace Denis Banville with:
Denis Banville Canada
Frieder Schwenk Germany
Claus Munck Petersen Denmark
Linda Yang United States
Kunio Kitamura Japan
Josée Hamelin Canada
Masayuki Komada Japan
Taroh Iiri Japan
Yoji Murata Japan
Ira Daar United States
Marc Glucksman relative to Denis Banville Canada Denis Banville's profile →
Citations per field
00.5×
Denis Banville · 1×
Citations per year

Countries citing papers authored by Marc Glucksman

Since Specialization
Citations

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

Fields of papers citing papers by Marc Glucksman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001365
2 2011286
3 2001232
4 2001208
5 2003125
6 199299
7 200479
8 200972
9 199872
10 199765
11 199955
12 199753
13 199945
14 201244
15 200642
16 199942
17 200640
18 200039
19 200837
20 198634

About Marc Glucksman

Marc Glucksman is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Oncology, Genetics and Genetics, having authored 53 papers that have together received 2.6k indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (20 papers), Neuropeptides and Animal Physiology (20 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (5 papers), Protease and Inhibitor Mechanisms (5 papers), Hypothalamic control of reproductive hormones (4 papers), Signaling Pathways in Disease (4 papers), Neuroscience and Neuropharmacology Research (3 papers) and Fibroblast Growth Factor Research (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (518 citations), Cancer Research (308 citations), Oncology (504 citations), Molecular Biology (1.4k citations) and Hematology (210 citations). Marc Glucksman has collaborated with scholars based in United States, Brazil and Spain. Frequent co-authors include James L. Roberts, John A. Martignetti, Lee Makowski, Karen E. Heath, Emer S. Ferro, Goutham Narla, T. John Wu, Keith Philibert, Sourav Bhattacharjee and John W. Tullai. Their work appears in journals such as Journal of Biological Chemistry, The American Journal of Human Genetics, Science, FEBS Journal and Journal of Neurochemistry.

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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