Rajendra J. Redkar
- Molecular Biology
- Ecology top 10%
- Small Animals top 5%
- Food Science top 10%
- Epidemiology
- Co-authors
- Vito G. DelVecchioSharon RoseNarendra K. SinghGuy PatraBetsy J. BrickerLeanne E. WilliamsXudong LiangYuan Qi
- Topics
- Fungal and yeast genetics research (5 papers)Bacillus and Francisella bacterial research (4 papers)Bacterial Genetics and Biotechnology (4 papers)
- Journals
- Applied and Environmental MicrobiologyJournal of BacteriologyAnnals of the New York Academy of Sciences
- Partner nations
- United StatesGermany
In The Last Decade
Rajendra J. Redkar
17 papers receiving 450 citations
Peers
Comparison fields: 5 of 57
- Molecular Biology 274
- Ecology 124
- Small Animals 117
- Food Science 110
- Epidemiology 87
Countries citing papers authored by Rajendra J. Redkar
This map shows the geographic impact of Rajendra J. Redkar'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 Rajendra J. Redkar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rajendra J. Redkar more than expected).
Fields of papers citing papers by Rajendra J. Redkar
This network shows the impact of papers produced by Rajendra J. Redkar. 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 Rajendra J. Redkar. The network helps show where Rajendra J. Redkar may publish in the future.
Co-authorship network of co-authors of Rajendra J. Redkar
This figure shows the co-authorship network connecting the top 25 collaborators of Rajendra J. Redkar. A scholar is included among the top collaborators of Rajendra J. Redkar 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 Rajendra J. Redkar. Rajendra J. Redkar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | An assay for measurement of protein adsorption to glass vials. | 2 |
| 2 | Signal and sensitivity enhancement through optical interference coating for DNA and protein microarray applications. | 9 |
| 3 | 19 | |
| 4 | 10 | |
| 5 | 12 | |
| 6 | 9 | |
| 7 | 112 | |
| 8 | 28 | |
| 9 | 139 | |
| 10 | 13 | |
| 11 | 31 | |
| 12 | 13 | |
| 13 | 10 | |
| 14 | 4 | |
| 15 | 29 | |
| 16 | 3 | |
| 17 | 39 |
About Rajendra J. Redkar
Rajendra J. Redkar is a scholar working on Endocrinology, Small Animals and Molecular Medicine, having authored 17 papers that have together received 482 indexed citations. Recurring topics across this work include Fungal and yeast genetics research (5 papers), Bacillus and Francisella bacterial research (4 papers) and Bacterial Genetics and Biotechnology (4 papers). The work is most often cited by research in Small Animals (117 citations), Food Science (110 citations) and Endocrinology (28 citations). Rajendra J. Redkar has collaborated with scholars based in United States and Germany. Frequent co-authors include Vito G. DelVecchio, Sharon Rose, Narendra K. Singh, Guy Patra, Betsy J. Bricker, Leanne E. Williams, Xudong Liang, Yuan Qi, Robert D. Locy and Roland W. Herzog. Their work appears in journals such as Applied and Environmental Microbiology, Journal of Bacteriology and Annals of the New York Academy of Sciences.
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.