Sidney V. Suggs
- Molecular Biology top 5%
- Hematology top 0.5%
- Immunology top 2%
- Oncology top 2%
- Physiology top 5%
- Co-authors
- Babru SamalGeorge StearnsY. SunR. Bruce WallaceKeiichi ItakuraFrancis H. MartinRalph SmallingGary M. Fox
- Topics
- Bacteriophages and microbial interactions (5 papers)Monoclonal and Polyclonal Antibodies Research (4 papers)RNA and protein synthesis mechanisms (4 papers)
- Partner nations
- United StatesIsraelUnited Kingdom
In The Last Decade
Sidney V. Suggs
24 papers receiving 5.2k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Molecular Biology 2.3k
- Hematology 1.2k
- Immunology 1.1k
- Oncology 1.1k
- Physiology 773
Countries citing papers authored by Sidney V. Suggs
This map shows the geographic impact of Sidney V. Suggs'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 Sidney V. Suggs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sidney V. Suggs more than expected).
Fields of papers citing papers by Sidney V. Suggs
This network shows the impact of papers produced by Sidney V. Suggs. 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 Sidney V. Suggs. The network helps show where Sidney V. Suggs may publish in the future.
Co-authorship network of co-authors of Sidney V. Suggs
This figure shows the co-authorship network connecting the top 25 collaborators of Sidney V. Suggs. A scholar is included among the top collaborators of Sidney V. Suggs 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 Sidney V. Suggs. Sidney V. Suggs is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 17 | |
| 3 | 202 | |
| 4 | 224 | |
| 5 | Cloning and characterization of the cDNA encoding a novel human pre-B-cell colony-enhancing factor.breakdown → | 857 |
| 6 | 259 | |
| 7 | Neu differentiation factor: A transmembrane glycoprotein containing an EGF domain and an immunoglobulin homology unitbreakdown → | 504 |
| 8 | 257 | |
| 9 | 33 | |
| 10 | 44 | |
| 11 | Stem cell factor is encoded at the SI locus of the mouse and is the ligand for the c-kit tyrosine kinase receptorbreakdown → | 1248 |
| 12 | 54 | |
| 13 | 50 | |
| 14 | 7 | |
| 15 | 251 | |
| 16 | Use of synthetic oligonucleotides as hybridization probes: isolation of cloned cDNA sequences for human beta 2-microglobulin.breakdown → | 360 |
| 17 | 18 | |
| 18 | 27 | |
| 19 | 18 | |
| 20 | 21 |
About Sidney V. Suggs
Sidney V. Suggs is a scholar working on Hematology, Immunology and Genetics, having authored 24 papers that have together received 5.5k indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and RNA and protein synthesis mechanisms (4 papers). The work is most often cited by research in Hematology (1.2k citations), Geriatrics and Gerontology (219 citations) and Immunology and Allergy (305 citations). Sidney V. Suggs has collaborated with scholars based in United States, Israel and United Kingdom. Frequent co-authors include Babru Samal, George Stearns, Y. Sun, R. Bruce Wallace, Keiichi Itakura, Francis H. Martin, Ralph Smalling, Gary M. Fox, Joan C. Egrie and Jeffrey K. Browne. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.