Alan M. Friedman
- Molecular Biology
- Plant Science top 5%
- Genetics top 10%
- Ecology top 10%
- Endocrinology top 5%
- Co-authors
- William J. BuikemaSharon R. LongSusan E. BrownFrederick M. AusubelChris Bailey‐KelloggMatthew M. SkinnerJoseph M. PuvathingalRichard L. Walter
- Topics
- Protein Structure and Dynamics (8 papers)Computational Drug Discovery Methods (4 papers)Enzyme Catalysis and Immobilization (4 papers)
- Cited by
- EndocrinologyPlant ScienceGenetics
- Partner nations
- United StatesIsraelPoland
In The Last Decade
Alan M. Friedman
26 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Molecular Biology 547
- Plant Science 417
- Genetics 250
- Ecology 156
- Endocrinology 99
Countries citing papers authored by Alan M. Friedman
This map shows the geographic impact of Alan M. Friedman'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 Alan M. Friedman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alan M. Friedman more than expected).
Fields of papers citing papers by Alan M. Friedman
This network shows the impact of papers produced by Alan M. Friedman. 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 Alan M. Friedman. The network helps show where Alan M. Friedman may publish in the future.
Co-authorship network of co-authors of Alan M. Friedman
This figure shows the co-authorship network connecting the top 25 collaborators of Alan M. Friedman. A scholar is included among the top collaborators of Alan M. Friedman 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 Alan M. Friedman. Alan M. Friedman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 1 | |
| 3 | 6 | |
| 4 | 0 | |
| 5 | 6 | |
| 6 | 4 | |
| 7 | 2 | |
| 8 | 14 | |
| 9 | 1 | |
| 10 | 31 | |
| 11 | 30 | |
| 12 | 13 | |
| 13 | 14 | |
| 14 | 17 | |
| 15 | 16 | |
| 16 | 27 | |
| 17 | 32 | |
| 18 | 50 | |
| 19 | 49 | |
| 20 | Construction of a broad host range cosmid cloning vector and its use in the genetic analysis of Rhizobium mutantsbreakdown → | 747 |
About Alan M. Friedman
Alan M. Friedman is a scholar working on Family Practice, Molecular Biology and Computational Theory and Mathematics, having authored 28 papers that have together received 1.1k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (8 papers), Computational Drug Discovery Methods (4 papers) and Enzyme Catalysis and Immobilization (4 papers). The work is most often cited by research in Endocrinology (99 citations), Plant Science (417 citations) and Genetics (250 citations). Alan M. Friedman has collaborated with scholars based in United States, Israel and Poland. Frequent co-authors include William J. Buikema, Sharon R. Long, Susan E. Brown, Frederick M. Ausubel, Chris Bailey‐Kellogg, Matthew M. Skinner, Joseph M. Puvathingal, Richard L. Walter, Shuang-yong Xu and Lu H. Their work appears in journals such as Journal of Molecular Biology, JNCI Journal of the National Cancer Institute and Biochemistry.
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.