Gary D. Probst
Impact in
- Organic Chemistry top 10%
- Catalytic C–H Functionalization Methods
- Synthetic Organic Chemistry Methods
- Asymmetric Synthesis and Catalysis
-
- Computational Drug Discovery Methods
Papers in
-
- Chemical Synthesis and Analysis 3
- Plant Gene Expression Analysis 2
-
- Synthesis and biological activity 2
- Click Chemistry and Applications 2
- Co-authors
- Barry M. Trost (2 shared papers)Ying‐zi Xu (3 shared papers)Simeon Bowers (4 shared papers)Gergely Tóth (1 shared paper)Hanbiao Yang (1 shared paper)Andrei W. Konradi (3 shared papers)J. Silvio Gutkind (1 shared paper)Shenghong Ma (1 shared paper)
- Journals
- Bioorganic & Medicinal Chemistry Letters (5 papers)Alzheimer s & Dementia (2 papers)Journal of the American Chemical Society (2 papers)Molecular Pharmaceutics (1 paper)Advances in experimental medicine and biology (1 paper)
- Partner nations
- United States
In The Last Decade
Gary D. Probst
17 papers receiving 535 citations
Peers
Comparison fields: 5 of 82
- Organic Chemistry 188
- Computational Theory and Mathematics 77
- Cell Biology 76
- Pharmacology 75
- Molecular Biology 226
Countries citing papers authored by Gary D. Probst
This map shows the geographic impact of Gary D. Probst'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 Gary D. Probst with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gary D. Probst more than expected).
Fields of papers citing papers by Gary D. Probst
This network shows the impact of papers produced by Gary D. Probst. 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 Gary D. Probst. The network helps show where Gary D. Probst may publish in the future.
Co-authors
The 25 scholars most cited alongside Gary D. Probst, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 93 | |
| 2 | 1998 | 82 | |
| 3 | 2012 | 60 | |
| 4 | 2014 | 59 | |
| 5 | 2007 | 58 | |
| 6 | 2003 | 43 | |
| 7 | 2012 | 30 | |
| 8 | 2013 | 24 | |
| 9 | 2013 | 23 | |
| 10 | 2000 | 22 | |
| 11 | 2012 | 21 | |
| 12 | 2013 | 10 | |
| 13 | 2009 | 9 | |
| 14 | 2013 | 5 | |
| 15 | 2010 | 4 | |
| 16 | 1998 | 1 | |
| 17 | 2011 | 1 |
About Gary D. Probst
Gary D. Probst is a scholar working on Molecular Biology, Organic Chemistry, Physiology, Neurology and Computational Theory and Mathematics, having authored 17 papers that have together received 545 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (4 papers), Computational Drug Discovery Methods (3 papers), Parkinson's Disease Mechanisms and Treatments (3 papers), Chemical Synthesis and Analysis (3 papers), Synthesis and biological activity (2 papers), Plant Gene Expression Analysis (2 papers), Cholinesterase and Neurodegenerative Diseases (2 papers) and Click Chemistry and Applications (2 papers). The work is most often cited by research in Organic Chemistry (188 citations), Computational Theory and Mathematics (77 citations), Cell Biology (76 citations), Pharmacology (75 citations) and Molecular Biology (226 citations). Gary D. Probst has collaborated with scholars based in United States. Frequent co-authors include Barry M. Trost, Ying‐zi Xu, Simeon Bowers, Gergely Tóth, Hanbiao Yang, Andrei W. Konradi, J. Silvio Gutkind, Shenghong Ma, Tracy Tang and Kun‐Liang Guan. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Alzheimer s & Dementia, Journal of the American Chemical Society, Molecular Pharmaceutics and Advances in experimental medicine and biology.
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.