Mark Chasin

34 papers receiving 1.8k citations

Peers

Mark Chasin
Comparison fields: 5 of 127
  • Pharmaceutical Science 169
  • Physiology 115
  • Genetics 245
  • Cellular and Molecular Neuroscience 403
  • Biomaterials 280
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Wei Shao China
Nicholas J. Izzo United States
Petra Henrich‐Noack Germany
Nianhang Chen United States
P. Procacci Italy
Robert G. Thorne United States
Paweł Grieb Poland
Jeffrey J. Lochhead United States
Franciska Erdő Hungary
Chunni Zhu United States
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Citations per year

Countries citing papers authored by Mark Chasin

Since Specialization
Citations

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

Fields of papers citing papers by Mark Chasin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Interstitial chemotherapy of the 9L gliosarcoma: controlled release polymers for drug delivery in the brain.
1993182
2 1972170
3 1992169
4 1996154
5 1996144
6 1971125
7 1989118
8 197276
9
Methods in cyclic nucleotide research
197270
10 197269
11 197463
12
Inhibitory and activators of cyclic nucleotide phosphodiesterase.
197663
13 199357
14 197956
15 199056
16 197350
17 199743
18 197839
19 199634
20 197331

About Mark Chasin

Mark Chasin is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Organic Chemistry, Surgery and Biomaterials, having authored 35 papers that have together received 2.0k indexed citations. Recurring topics across this work include Phosphodiesterase function and regulation (9 papers), Neuroscience and Neuropharmacology Research (4 papers), Enzyme function and inhibition (4 papers), Receptor Mechanisms and Signaling (3 papers), Nanoparticle-Based Drug Delivery (3 papers), Synthesis and Catalytic Reactions (3 papers), Epilepsy research and treatment (2 papers) and Growth Hormone and Insulin-like Growth Factors (2 papers). The work is most often cited by research in Pharmaceutical Science (169 citations), Physiology (115 citations), Genetics (245 citations), Cellular and Molecular Neuroscience (403 citations) and Biomaterials (280 citations). Mark Chasin has collaborated with scholars based in United States, Malaysia and Canada. Frequent co-authors include Henry Brem, Rafael J. Tamargo, Sidney M. Hess, Jonathan I. Epstein, Róbert Langer, Carla S. Reinhard, Bernard Beer, Donald E. Clody, Zola P. Horovitz and John R. Vogel. Their work appears in journals such as Biochemical Pharmacology, Journal of Pharmaceutical Sciences, Journal of Neurochemistry, Journal of Biomedical Materials Research and Anesthesiology.

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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