Ram S. Verma
- Genetics top 1%
- Molecular Biology top 5%
- Plant Science top 2%
- Pediatrics, Perinatology and Child Health top 2%
- Hematology top 2%
- Co-authors
- Harvey DosikArvind BabuHerbert A. LubsRobert A. ConteMichael J. MaceraA. BabuMorton ColemanC.J. Godec
- Topics
- Chromosomal and Genetic Variations (97 papers)Genomic variations and chromosomal abnormalities (90 papers)Genomics and Chromatin Dynamics (51 papers)
- Cited by
- GeneticsHematologyPlant Science
- Journals
- New England Journal of MedicineThe LancetThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- United StatesQatarPhilippines
In The Last Decade
Ram S. Verma
205 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 106
- Genetics 1.5k
- Molecular Biology 1.3k
- Plant Science 1.2k
- Pediatrics, Perinatology and Child Health 485
- Hematology 425
Countries citing papers authored by Ram S. Verma
This map shows the geographic impact of Ram S. Verma'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 Ram S. Verma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ram S. Verma more than expected).
Fields of papers citing papers by Ram S. Verma
This network shows the impact of papers produced by Ram S. Verma. 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 Ram S. Verma. The network helps show where Ram S. Verma may publish in the future.
Co-authorship network of co-authors of Ram S. Verma
This figure shows the co-authorship network connecting the top 25 collaborators of Ram S. Verma. A scholar is included among the top collaborators of Ram S. Verma 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 Ram S. Verma. Ram S. Verma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 26 | |
| 6 | 9 | |
| 7 | Human chromosomes : principles and techniques | 307 |
| 8 | 2 | |
| 9 | 11 | |
| 10 | 2 | |
| 11 | 14 | |
| 12 | 28 | |
| 13 | 4 | |
| 14 | Molecular characterization of variant translocations in chronic myelogenous leukemia. | 5 |
| 15 | 2 | |
| 16 | 71 | |
| 17 | 2 | |
| 18 | 12 | |
| 19 | 21 | |
| 20 | 120 |
About Ram S. Verma
Ram S. Verma is a scholar working on Genetics, Hematology and Plant Science, having authored 211 papers that have together received 2.8k indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (97 papers), Genomic variations and chromosomal abnormalities (90 papers) and Genomics and Chromatin Dynamics (51 papers). The work is most often cited by research in Genetics (1.5k citations), Hematology (425 citations) and Plant Science (1.2k citations). Ram S. Verma has collaborated with scholars based in United States, Qatar and Philippines. Frequent co-authors include Harvey Dosik, Arvind Babu, Herbert A. Lubs, Robert A. Conte, Michael J. Macera, A. Babu, Morton Coleman, C.J. Godec, John Groffen and K.H. Ramesh. Their work appears in journals such as New England Journal of Medicine, The Lancet and The Journal of Clinical Endocrinology & Metabolism.
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.