Robert Tullman
Impact in
- Pharmacology top 5%
- Pharmacogenetics and Drug Metabolism
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- Computational Drug Discovery Methods
Papers in
-
- Cyclopropane Reaction Mechanisms 4
-
- Protein purification and stability 1
- Plant biochemistry and biosynthesis 1
- Co-authors
- Robert P. Hanzlik (3 shared papers)Volker Fischer (2 shared papers)Francis Heitz (1 shared paper)William T. Robinson (1 shared paper)E M Graham (1 shared paper)Vimal Kishore (1 shared paper)Charles Jewell (1 shared paper)Marla Weetall (1 shared paper)
- Journals
- Bioorganic & Medicinal Chemistry Letters (1 paper)Biopharmaceutics & Drug Disposition (1 paper)Drug Metabolism and Disposition (1 paper)Drug Metabolism Reviews (1 paper)Journal of the American Chemical Society (1 paper)
- Partner nations
- United StatesSwitzerland
In The Last Decade
Robert Tullman
7 papers receiving 337 citations
Peers
Comparison fields: 5 of 60
- Pharmacology 131
- Computational Theory and Mathematics 62
- Biochemistry 24
- Inorganic Chemistry 45
- Organic Chemistry 90
Countries citing papers authored by Robert Tullman
This map shows the geographic impact of Robert Tullman'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 Robert Tullman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Tullman more than expected).
Fields of papers citing papers by Robert Tullman
This network shows the impact of papers produced by Robert Tullman. 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 Robert Tullman. The network helps show where Robert Tullman may publish in the future.
Co-authors
The 20 scholars most cited alongside Robert Tullman, 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 | 1999 | 130 | |
| 2 | 1982 | 91 | |
| 3 | 1999 | 34 | |
| 4 | 2004 | 34 | |
| 5 | 1979 | 34 | |
| 6 | 1984 | 26 | |
| 7 | 1992 | 2 |
About Robert Tullman
Robert Tullman is a scholar working on Organic Chemistry, Molecular Biology, Pharmaceutical Science, Pharmacology and Surgery, having authored 7 papers that have together received 351 indexed citations. Recurring topics across this work include Cyclopropane Reaction Mechanisms (4 papers), Pharmacogenetics and Drug Metabolism (2 papers), Protein purification and stability (1 paper), Plant biochemistry and biosynthesis (1 paper), Traditional and Medicinal Uses of Annonaceae (1 paper), Fluorine in Organic Chemistry (1 paper), Analytical Methods in Pharmaceuticals (1 paper) and Drug Solubulity and Delivery Systems (1 paper). The work is most often cited by research in Pharmacology (131 citations), Computational Theory and Mathematics (62 citations), Biochemistry (24 citations), Inorganic Chemistry (45 citations) and Organic Chemistry (90 citations). Robert Tullman has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Robert P. Hanzlik, Volker Fischer, Francis Heitz, William T. Robinson, E M Graham, Vimal Kishore, Charles Jewell, Marla Weetall, Francis L. S. Tse and Yanfeng Wang. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Biopharmaceutics & Drug Disposition, Drug Metabolism and Disposition, Drug Metabolism Reviews and Journal of the American Chemical Society.
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.