Gerald D. Fasman
- Molecular Biology top 0.05%
- Materials Chemistry top 1%
- Spectroscopy top 0.1%
- Organic Chemistry top 0.5%
- Cell Biology top 0.2%
- Co-authors
- Peter Y. ChouNorma J. GreenfieldSerge N. TimasheffAlice J. AdlerBetty DavidsonLawrence LevineAndrás PerczelSherwin S. Lehrer
- Topics
- DNA and Nucleic Acid Chemistry (67 papers)Protein Structure and Dynamics (49 papers)Chemical Synthesis and Analysis (45 papers)
- Partner nations
- United StatesHungaryCanada
In The Last Decade
Gerald D. Fasman
228 papers receiving 27.6k citations
Hit Papers
Peers
Comparison fields: 5 of 182
- Molecular Biology 22.3k
- Materials Chemistry 4.3k
- Spectroscopy 3.7k
- Organic Chemistry 2.5k
- Cell Biology 2.3k
Countries citing papers authored by Gerald D. Fasman
This map shows the geographic impact of Gerald D. Fasman'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 Gerald D. Fasman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerald D. Fasman more than expected).
Fields of papers citing papers by Gerald D. Fasman
This network shows the impact of papers produced by Gerald D. Fasman. 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 Gerald D. Fasman. The network helps show where Gerald D. Fasman may publish in the future.
Co-authorship network of co-authors of Gerald D. Fasman
This figure shows the co-authorship network connecting the top 25 collaborators of Gerald D. Fasman. A scholar is included among the top collaborators of Gerald D. Fasman 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 Gerald D. Fasman. Gerald D. Fasman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 5 | |
| 3 | 25 | |
| 4 | 14 | |
| 5 | 1 | |
| 6 | 18 | |
| 7 | 59 | |
| 8 | 393 | |
| 9 | 101 | |
| 10 | 36 | |
| 11 | 11 | |
| 12 | 16 | |
| 13 | 3 | |
| 14 | 180 | |
| 15 | 111 | |
| 16 | Prediction of the Secondary Structure of Proteins from their Amino Acid Sequencebreakdown → | 2602 |
| 17 | Lipids, carbohydrates, steroids | 7 |
| 18 | [27] Circular dichroism and optical rotatory dispersion of proteins and polypeptidesbreakdown → | 481 |
| 19 | Subunits in biological systems | 232 |
| 20 | Structure and stability of biological macromoleculesbreakdown → | 1125 |
About Gerald D. Fasman
Gerald D. Fasman is a scholar working on Spectroscopy, Molecular Biology and Physical and Theoretical Chemistry, having authored 234 papers that have together received 30.2k indexed citations. Recurring topics across this work include DNA and Nucleic Acid Chemistry (67 papers), Protein Structure and Dynamics (49 papers) and Chemical Synthesis and Analysis (45 papers). The work is most often cited by research in Molecular Biology (22.3k citations), Spectroscopy (3.7k citations) and Microbiology (978 citations). Gerald D. Fasman has collaborated with scholars based in United States, Hungary and Canada. Frequent co-authors include Peter Y. Chou, Norma J. Greenfield, Serge N. Timasheff, Alice J. Adler, Betty Davidson, Lawrence Levine, András Perczel, Sherwin S. Lehrer, Theodore L. Goodfriend and M. Hollósi. Their work appears in journals such as Nature, Science and Cell.
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.