Eric S. Manas

2.9k citations
39 papers · 2.3k indexed · h-index 25

Eric S. Manas

39 papers receiving 2.2k citations

Peers

Eric S. Manas
Comparison fields: 5 of 120
  • Toxicology 124
  • Organic Chemistry 782
  • Computational Theory and Mathematics 351
  • Genetics 573
  • Physical and Theoretical Chemistry 151
Replace John C. Hackett with:
John C. Hackett United States
Lewis D. Pennington United States
Mikael Peräkylä Finland
Drake S. Eggleston United States
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J. Phillip Bowen United States
Raymond McCague United Kingdom
Franklin A. Hays United States
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Daniel Picot France
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Citations per field
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Citations per year

Countries citing papers authored by Eric S. Manas

Since Specialization
Citations

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

Fields of papers citing papers by Eric S. Manas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric S. Manas. 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 S. Manas. The network helps show where Eric S. Manas may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201814
2 20177
3 20179
4 2016207
5 201638
6 201121
7 201030
8 200912
9 200929
10 200768
11 200749
12 200734
13 200619
14 200564
15 200436
16 2004156
17 200454
18 200436
19 200017
20 199931

About Eric S. Manas

Eric S. Manas is a scholar working on Computational Theory and Mathematics, Genetics, Spectroscopy, Process Chemistry and Technology and Organic Chemistry, having authored 39 papers that have together received 2.3k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (11 papers), Estrogen and related hormone effects (11 papers), Spectroscopy and Quantum Chemical Studies (6 papers), Synthesis and biological activity (5 papers), Protein Structure and Dynamics (5 papers), Analytical Chemistry and Chromatography (3 papers), Organic Electronics and Photovoltaics (3 papers) and Photosynthetic Processes and Mechanisms (3 papers). The work is most often cited by research in Toxicology (124 citations), Organic Chemistry (782 citations), Computational Theory and Mathematics (351 citations), Genetics (573 citations) and Physical and Theoretical Chemistry (151 citations). Eric S. Manas has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Jane M. Vanderkooi, Zhang B. Xu, Heather A. Harris, Rayomand J. Unwalla, Frank C. Spano, Kim A. Sharp, Wayne W. Wright, Richard E. Mewshaw, W.S. Somers and Bhupinder Madan. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, The Journal of Chemical Physics, Journal of the American Chemical Society, The Journal of Physical Chemistry B and Bioorganic & Medicinal Chemistry.

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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