Radhakrishnan Nagarajan
- Economics and Econometrics top 5%
- Molecular Biology
- Statistical and Nonlinear Physics top 5%
- Periodontics top 5%
- Global and Planetary Change
- Co-authors
- Rajesh KavasseriMeenakshi UpretiDolph DawsonJeffrey L. EbersoleCraig S. MillerMohanad Al‐SabbaghCharlotte A. PetersonAlex T. Kalinka
- Topics
- Bioinformatics and Genomic Networks (13 papers)Complex Systems and Time Series Analysis (10 papers)Gene expression and cancer classification (10 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Radhakrishnan Nagarajan
34 papers receiving 508 citations
Peers
Comparison fields: 5 of 125
- Economics and Econometrics 160
- Molecular Biology 128
- Statistical and Nonlinear Physics 102
- Periodontics 61
- Global and Planetary Change 51
Countries citing papers authored by Radhakrishnan Nagarajan
This map shows the geographic impact of Radhakrishnan Nagarajan'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 Radhakrishnan Nagarajan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Radhakrishnan Nagarajan more than expected).
Fields of papers citing papers by Radhakrishnan Nagarajan
This network shows the impact of papers produced by Radhakrishnan Nagarajan. 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 Radhakrishnan Nagarajan. The network helps show where Radhakrishnan Nagarajan may publish in the future.
Co-authorship network of co-authors of Radhakrishnan Nagarajan
This figure shows the co-authorship network connecting the top 25 collaborators of Radhakrishnan Nagarajan. A scholar is included among the top collaborators of Radhakrishnan Nagarajan 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 Radhakrishnan Nagarajan. Radhakrishnan Nagarajan 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 | 11 | |
| 3 | 25 | |
| 4 | 9 | |
| 5 | 10 | |
| 6 | 26 | |
| 7 | 25 | |
| 8 | 6 | |
| 9 | 25 | |
| 10 | 9 | |
| 11 | 15 | |
| 12 | 34 | |
| 13 | 6 | |
| 14 | 6 | |
| 15 | 6 | |
| 16 | 3 | |
| 17 | 9 | |
| 18 | 32 | |
| 19 | 5 | |
| 20 | 19 |
About Radhakrishnan Nagarajan
Radhakrishnan Nagarajan is a scholar working on Periodontics, Statistical and Nonlinear Physics and Economics and Econometrics, having authored 38 papers that have together received 532 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (13 papers), Complex Systems and Time Series Analysis (10 papers) and Gene expression and cancer classification (10 papers). The work is most often cited by research in Periodontics (61 citations), Statistical and Nonlinear Physics (102 citations) and Economics and Econometrics (160 citations). Radhakrishnan Nagarajan has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Rajesh Kavasseri, Meenakshi Upreti, Dolph Dawson, Jeffrey L. Ebersole, Craig S. Miller, Mohanad Al‐Sabbagh, Charlotte A. Peterson, Alex T. Kalinka, William R. Hogan and C. C. Chiang. Their work appears in journals such as PLoS ONE, Scientific Reports and Methods in enzymology on CD-ROM/Methods in enzymology.
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.