Michael H. Gelb
- Molecular Biology top 0.05%
- Physiology top 0.2%
- Cell Biology top 0.1%
- Spectroscopy top 0.1%
- Organic Chemistry top 0.5%
- Co-authors
- František TurečekRuedi AebersoldGérard LambeauScott A. GerberFarideh GhomashchiSteven P. GygiBeate RistJohn A. Glomset
- Topics
- Protein Kinase Regulation and GTPase Signaling (105 papers)Lysosomal Storage Disorders Research (92 papers)Trypanosoma species research and implications (62 papers)
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Michael H. Gelb
517 papers receiving 31.5k citations
Hit Papers
Peers
Comparison fields: 5 of 181
- Molecular Biology 19.8k
- Physiology 4.7k
- Cell Biology 4.0k
- Spectroscopy 3.6k
- Organic Chemistry 3.4k
Countries citing papers authored by Michael H. Gelb
This map shows the geographic impact of Michael H. Gelb'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 Michael H. Gelb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael H. Gelb more than expected).
Fields of papers citing papers by Michael H. Gelb
This network shows the impact of papers produced by Michael H. Gelb. 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 Michael H. Gelb. The network helps show where Michael H. Gelb may publish in the future.
Co-authorship network of co-authors of Michael H. Gelb
This figure shows the co-authorship network connecting the top 25 collaborators of Michael H. Gelb. A scholar is included among the top collaborators of Michael H. Gelb 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 Michael H. Gelb. Michael H. Gelb is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 0 | |
| 4 | 7 | |
| 5 | 5 | |
| 6 | 8 | |
| 7 | 9 | |
| 8 | 13 | |
| 9 | 4 | |
| 10 | 8 | |
| 11 | 8 | |
| 12 | 23 | |
| 13 | Computational protein design enables a novel one-carbon assimilation pathwaybreakdown → | 315 |
| 14 | 52 | |
| 15 | Computational Design of an Enzyme Catalyst for a Stereoselective Bimolecular Diels-Alder Reactionbreakdown → | 692 |
| 16 | 22 | |
| 17 | 160 | |
| 18 | 240 | |
| 19 | 120 | |
| 20 | Quantitative analysis of complex protein mixtures using isotope-coded affinity tagsbreakdown → | 3608 |
About Michael H. Gelb
Michael H. Gelb is a scholar working on Physiology, Cell Biology and Clinical Biochemistry, having authored 524 papers that have together received 32.3k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (105 papers), Lysosomal Storage Disorders Research (92 papers) and Trypanosoma species research and implications (62 papers). The work is most often cited by research in Molecular Biology (19.8k citations), Cell Biology (4.0k citations) and Spectroscopy (3.6k citations). Michael H. Gelb has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include František Tureček, Ruedi Aebersold, Gérard Lambeau, Scott A. Gerber, Farideh Ghomashchi, Steven P. Gygi, Beate Rist, John A. Glomset, Christopher C. Farnsworth and Kohei Yokoyama. Their work appears in journals such as Science, Chemical Reviews and Proceedings of the National Academy of Sciences.
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.