Kohulan Rajan
- Molecular Biology
- Computational Theory and Mathematics top 2%
- Materials Chemistry
- Pharmacology top 10%
- Spectroscopy
- Co-authors
- Christoph SteinbeckAchim ZielesnyMaria SorokinaPeter MerseburgerMehmet Aziz YirikVenkata Chandrasekhar NainalaFahimuddin ShaikBalasubramaniam Natarajan
- Topics
- Computational Drug Discovery Methods (15 papers)Machine Learning in Materials Science (11 papers)Metabolomics and Mass Spectrometry Studies (7 papers)
- Partner nations
- GermanyIndiaUnited States
In The Last Decade
Kohulan Rajan
26 papers receiving 660 citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Molecular Biology 347
- Computational Theory and Mathematics 314
- Materials Chemistry 144
- Pharmacology 112
- Spectroscopy 62
Countries citing papers authored by Kohulan Rajan
This map shows the geographic impact of Kohulan Rajan'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 Kohulan Rajan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kohulan Rajan more than expected).
Fields of papers citing papers by Kohulan Rajan
This network shows the impact of papers produced by Kohulan Rajan. 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 Kohulan Rajan. The network helps show where Kohulan Rajan may publish in the future.
Co-authorship network of co-authors of Kohulan Rajan
This figure shows the co-authorship network connecting the top 25 collaborators of Kohulan Rajan. A scholar is included among the top collaborators of Kohulan Rajan 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 Kohulan Rajan. Kohulan Rajan 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 | 1 | |
| 3 | 1 | |
| 4 | 27 | |
| 5 | 14 | |
| 6 | 6 | |
| 7 | 34 | |
| 8 | 10 | |
| 9 | 8 | |
| 10 | 34 | |
| 11 | 1 | |
| 12 | 38 | |
| 13 | COCONUT online: Collection of Open Natural Products databasebreakdown → | 346 |
| 14 | 15 | |
| 15 | 49 | |
| 16 | 1 | |
| 17 | 43 | |
| 18 | INTEGRATING ERROR DETECTION WITH DATA ENCRYPTION ALGORITHM USING PERMUTATION INVARIANT RAO ALAKA SHIFT TRANSFORM | 0 |
| 19 | 1 | |
| 20 | 10 |
About Kohulan Rajan
Kohulan Rajan is a scholar working on Computational Theory and Mathematics, Computer Vision and Pattern Recognition and Hardware and Architecture, having authored 29 papers that have together received 681 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (15 papers), Machine Learning in Materials Science (11 papers) and Metabolomics and Mass Spectrometry Studies (7 papers). The work is most often cited by research in Computational Theory and Mathematics (314 citations), Pharmacology (112 citations) and Molecular Biology (347 citations). Kohulan Rajan has collaborated with scholars based in Germany, India and United States. Frequent co-authors include Christoph Steinbeck, Achim Zielesny, Maria Sorokina, Peter Merseburger, Mehmet Aziz Yirik, Venkata Chandrasekhar Nainala, Fahimuddin Shaik, Balasubramaniam Natarajan, Nisha Sharma and R. Váni. Their work appears in journals such as Nucleic Acids Research, Nature Communications and Current Opinion in Structural Biology.
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.