David R. Gang
- Molecular Biology top 1%
- Plant Science top 0.5%
- Pharmacology top 0.5%
- Food Science top 1%
- Ecology, Evolution, Behavior and Systematics top 1%
- Co-authors
- Eran PicherskyRichard MaBarbara N. TimmermannAnna BerimHongliang JiangNatalia DudarevaEyal FridmanEfraim Lewinsohn
- Topics
- Plant biochemistry and biosynthesis (32 papers)Plant Gene Expression Analysis (23 papers)Photosynthetic Processes and Mechanisms (13 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistrySHILAP Revista de lepidopterología
- Partner nations
- United StatesChinaIsrael
In The Last Decade
David R. Gang
138 papers receiving 8.4k citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Molecular Biology 5.0k
- Plant Science 3.0k
- Pharmacology 1.4k
- Food Science 861
- Ecology, Evolution, Behavior and Systematics 747
Countries citing papers authored by David R. Gang
This map shows the geographic impact of David R. Gang'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 David R. Gang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David R. Gang more than expected).
Fields of papers citing papers by David R. Gang
This network shows the impact of papers produced by David R. Gang. 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 David R. Gang. The network helps show where David R. Gang may publish in the future.
Co-authorship network of co-authors of David R. Gang
This figure shows the co-authorship network connecting the top 25 collaborators of David R. Gang. A scholar is included among the top collaborators of David R. Gang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David R. Gang. David R. Gang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 5 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 3 | |
| 6 | 14 | |
| 7 | 16 | |
| 8 | 9 | |
| 9 | 75 | |
| 10 | 9 | |
| 11 | 16 | |
| 12 | 89 | |
| 13 | 14 | |
| 14 | 25 | |
| 15 | 13 | |
| 16 | 50 | |
| 17 | 16 | |
| 18 | 160 | |
| 19 | Using random amplified polymorphic DNA to analyze the genetic relationships and variability among three species of wheat smut (Tilletia) | 7 |
| 20 | 151 |
About David R. Gang
David R. Gang is a scholar working on Pharmacology, Plant Science and Molecular Biology, having authored 142 papers that have together received 8.7k indexed citations. Recurring topics across this work include Plant biochemistry and biosynthesis (32 papers), Plant Gene Expression Analysis (23 papers) and Photosynthetic Processes and Mechanisms (13 papers). The work is most often cited by research in Biochemistry (540 citations), Biotechnology (713 citations) and Pharmacology (1.4k citations). David R. Gang has collaborated with scholars based in United States, China and Israel. Frequent co-authors include Eran Pichersky, Richard Ma, Barbara N. Timmermann, Anna Berim, Hongliang Jiang, Natalia Dudareva, Eyal Fridman, Efraim Lewinsohn, Norman Lewis and Yoko Iijima. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.
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.