John E. Macor

6.1k citations
161 papers · 3.2k indexed · h-index 29

John E. Macor

159 papers receiving 3.1k citations

Peers

John E. Macor
Comparison fields: 5 of 111
  • Organic Chemistry 1.5k
  • Cellular and Molecular Neuroscience 691
  • Pharmacology 395
  • Pharmaceutical Science 136
  • Psychiatry and Mental health 333
Replace Nicola Antonio Colabufo with:
Nicola Antonio Colabufo Italy
Chris G. Kruse Netherlands
Maciej Pawłowski Poland
Robert H. Dodd France
Alfredo Cagnotto Italy
Travis T. Wager United States
Roberto Perrone Italy
Catherine Hou United States
Albert J. Robichaud United States
Gilles Tamagnan United States
John E. Macor relative to Nicola Antonio Colabufo Italy Nicola Antonio Colabufo's profile →
Citations per field
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Nicola Antonio Colabufo · 1×
Citations per year

Countries citing papers authored by John E. Macor

Since Specialization
Citations

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

Fields of papers citing papers by John E. Macor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John E. Macor. 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 John E. Macor. The network helps show where John E. Macor may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20239
2 201931
3 20176
4 201716
5 20173
6 20164
7 201621
8 201515
9 201511
10 201316
11 20122
12 201116
13 200911
14 200924
15 200317
16 200313
17 200121
18 199220
19 199214
20 1990138

About John E. Macor

John E. Macor is a scholar working on Cellular and Molecular Neuroscience, Organic Chemistry and Behavioral Neuroscience, having authored 161 papers that have together received 3.2k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (30 papers), Synthesis and Biological Evaluation (25 papers), Neuroscience and Neuropharmacology Research (22 papers), Neuropeptides and Animal Physiology (21 papers), Asymmetric Synthesis and Catalysis (20 papers), Migraine and Headache Studies (18 papers), Chemical Reaction Mechanisms (17 papers) and Chemical synthesis and alkaloids (16 papers). The work is most often cited by research in Organic Chemistry (1.5k citations), Cellular and Molecular Neuroscience (691 citations) and Pharmacology (395 citations). John E. Macor has collaborated with scholars based in United States, Germany and India. Frequent co-authors include Edward C. Taylor, Kevin Ryan, Michael E. Newman, B. Kenneth Koe, Gene M. Dubowchik, Edward C. Taylor, James Heym, Ronald J. Post, Lorraine A. Lebel and Robert A. Mack. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Tetrahedron Letters, Journal of Medicinal Chemistry, The Journal of Organic Chemistry and ACS Medicinal Chemistry Letters.

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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