K L Ramachandran
- Molecular Biology top 5%
- Hematology top 2%
- Genetics top 5%
- Public Health, Environmental and Occupational Health top 5%
- Reproductive Medicine top 2%
- Co-authors
- Robert J. MattalianoE P ChowRichard TizardCatherine HessionBarbara WallnerJohn M. MaraganoreRichard L. CateR. Blake Pepinsky
- Topics
- Chronic Lymphocytic Leukemia Research (2 papers)Cellular transport and secretion (2 papers)Chronic Myeloid Leukemia Treatments (2 papers)
- Partner nations
- United StatesNetherlandsSwitzerland
In The Last Decade
K L Ramachandran
15 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Molecular Biology 1.6k
- Hematology 531
- Genetics 477
- Public Health, Environmental and Occupational Health 386
- Reproductive Medicine 376
Countries citing papers authored by K L Ramachandran
This map shows the geographic impact of K L Ramachandran'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 K L Ramachandran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K L Ramachandran more than expected).
Fields of papers citing papers by K L Ramachandran
This network shows the impact of papers produced by K L Ramachandran. 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 K L Ramachandran. The network helps show where K L Ramachandran may publish in the future.
Co-authorship network of co-authors of K L Ramachandran
This figure shows the co-authorship network connecting the top 25 collaborators of K L Ramachandran. A scholar is included among the top collaborators of K L Ramachandran 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 K L Ramachandran. K L Ramachandran is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 380 | |
| 2 | 55 | |
| 3 | 171 | |
| 4 | 20 | |
| 5 | 50 | |
| 6 | 74 | |
| 7 | 40 | |
| 8 | 88 | |
| 9 | 161 | |
| 10 | Isolation of the bovine and human genes for müllerian inhibiting substance and expression of the human gene in animal cellsbreakdown → | 836 |
| 11 | 103 | |
| 12 | 378 | |
| 13 | Cloning and expression of human lipocortin, a phospholipase A2 inhibitor with potential anti-inflammatory activitybreakdown → | 555 |
| 14 | 110 | |
| 15 | 3 |
About K L Ramachandran
K L Ramachandran is a scholar working on Hematology, Genetics and Immunology and Allergy, having authored 15 papers that have together received 3.0k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (2 papers), Cellular transport and secretion (2 papers) and Chronic Myeloid Leukemia Treatments (2 papers). The work is most often cited by research in Hematology (531 citations), Reproductive Medicine (376 citations) and Internal Medicine (158 citations). K L Ramachandran has collaborated with scholars based in United States, Netherlands and Switzerland. Frequent co-authors include Robert J. Mattaliano, E P Chow, Richard Tizard, Catherine Hession, Barbara Wallner, John M. Maraganore, Richard L. Cate, R. Blake Pepinsky, Jeffrey L. Browning and Lesley K. Sinclair. 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.