Brian Samas

1.3k citations
33 papers · 608 · h-index 16

Impact in

Papers in

Brian Samas

33 papers receiving 597 citations

Peers

Brian Samas
Comparison fields: 5 of 86
  • Pharmaceutical Science 74
  • Organic Chemistry 259
  • Physical and Theoretical Chemistry 58
  • Inorganic Chemistry 87
  • Spectroscopy 70
Replace Anatoly Mishnev with:
Anatoly Mishnev Latvia
István Kövesdi Hungary
Rona Banerjee India
Michael R. Schrimpf United States
Makoto Fushimi Japan
Christian Sköld Sweden
Luc Quéré Belgium
S.R. Byrn United States
Juan Manuel Germán-Acacio Mexico
Eugene V. Babaev Russia
Brian Samas relative to Anatoly Mishnev Latvia Anatoly Mishnev's profile →
Citations per field
00.5×1.5×
Anatoly Mishnev · 1×
Citations per year

Countries citing papers authored by Brian Samas

Since Specialization
Citations

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

Fields of papers citing papers by Brian Samas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200363
2 200960
3 201256
4 201838
5 201335
6 202033
7 201132
8 201431
9 201228
10 201126
11 201621
12 200420
13 201018
14 201217
15 200417
16 201116
17 201114
18 201211
19 202110
20 20129

About Brian Samas

Brian Samas is a scholar working on Organic Chemistry, Molecular Biology, Inorganic Chemistry, Materials Chemistry and Physical and Theoretical Chemistry, having authored 33 papers that have together received 608 indexed citations. Recurring topics across this work include Crystallography and molecular interactions (6 papers), Crystal structures of chemical compounds (5 papers), Asymmetric Hydrogenation and Catalysis (4 papers), Receptor Mechanisms and Signaling (3 papers), Chemical Synthesis and Analysis (3 papers), Crystallization and Solubility Studies (3 papers), Asymmetric Synthesis and Catalysis (3 papers) and Computational Drug Discovery Methods (3 papers). The work is most often cited by research in Pharmaceutical Science (74 citations), Organic Chemistry (259 citations), Physical and Theoretical Chemistry (58 citations), Inorganic Chemistry (87 citations) and Spectroscopy (70 citations). Brian Samas has collaborated with scholars based in United States, United Kingdom and Poland. Frequent co-authors include Garrett Hoge, Eric J. Munson, Eric M. Gorman, Dainius Macikenas, Malcolm E. Kenney, Jacob A. Miller, Yang Yang, Brian L. Chaloux, Vance O. Kennedy and Wei Wang. Their work appears in journals such as Journal of Pharmaceutical Sciences, Tetrahedron Letters, Organic Process Research & Development, MedChemComm and Crystal Growth & Design.

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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