Mark G. Saulnier

2.8k citations
49 papers · 1.7k indexed · h-index 21

Mark G. Saulnier

47 papers receiving 1.6k citations

Peers

Mark G. Saulnier
Comparison fields: 5 of 85
  • Toxicology 122
  • Organic Chemistry 954
  • Molecular Biology 807
  • Biotechnology 89
  • Pharmaceutical Science 61
Replace Dolatrai M. Vyas with:
Dolatrai M. Vyas United States
Kenneth J. Barr United States
Randall W. Hungate United States
Ji‐Wang Chern Taiwan
Zhu‐Jun Yao China
Nareshkumar Jain United States
Jean‐Pierre Gesson France
Ted W. Johnson United States
John D. Chisholm United States
Benoı̂t Joseph France
Mark G. Saulnier relative to Dolatrai M. Vyas United States Dolatrai M. Vyas's profile →
Citations per field
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Dolatrai M. Vyas · 1×
Citations per year

Countries citing papers authored by Mark G. Saulnier

Since Specialization
Citations

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

Fields of papers citing papers by Mark G. Saulnier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark G. Saulnier. 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 Mark G. Saulnier. The network helps show where Mark G. Saulnier may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20224
2 20227
3 20221
4 201016
5 200820
6 200817
7
BMS-554417, an inhibitor of the insulin-like growth factor I receptor and insulin receptor, inhibits proliferation and induces mitochondrial pathway-mediated apoptosis in cancer cell lines
20052
8 199498
9 19947
10 19930
11 199351
12 199267
13 19925
14 19924
15 199019
16 19901
17 198926
18 198549
19 19838
20 198233

About Mark G. Saulnier

Mark G. Saulnier is a scholar working on Toxicology, Organic Chemistry and Pharmacology, having authored 49 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cancer therapeutics and mechanisms (14 papers), Bioactive Compounds and Antitumor Agents (7 papers), Chemical synthesis and alkaloids (7 papers), Synthesis of heterocyclic compounds (6 papers), Growth Hormone and Insulin-like Growth Factors (5 papers), Cancer Treatment and Pharmacology (5 papers), Advanced Synthetic Organic Chemistry (4 papers) and Asymmetric Synthesis and Catalysis (4 papers). The work is most often cited by research in Toxicology (122 citations), Organic Chemistry (954 citations) and Molecular Biology (807 citations). Mark G. Saulnier has collaborated with scholars based in United States and Germany. Frequent co-authors include Gordon W. Gribble, David B. Frennesson, Mukund P. Sibi, Dolatrai M. Vyas, Peter D. Senter, Ingegerd Hellström, George J. Schreiber, Joseph P. Brown, David L. Hirschberg and K E Hellström. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and 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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