Arnab China
Impact in
- Molecular Medicine top 10%
- Infectious Diseases top 10%
- Tuberculosis Research and Epidemiology
Papers in
-
- Cancer therapeutics and mechanisms 9
- RNA and protein synthesis mechanisms 9
- RNA modifications and cancer 4
-
- Tuberculosis Research and Epidemiology 9
- Co-authors
- Valakunja Nagaraja (17 shared papers)Dharmarajan Sriram (8 shared papers)Murugesan Dinakaran (8 shared papers)Perumal Yogeeswari (8 shared papers)Palaniappan Senthilkumar (8 shared papers)Vikas Jain (1 shared paper)R. Saleem-Batcha (1 shared paper)Dipankar Chatterji (1 shared paper)
- Journals
- Microbiology (2 papers)Nature Communications (2 papers)Bioorganic & Medicinal Chemistry (2 papers)PLoS ONE (2 papers)Biochemical and Biophysical Research Communications (2 papers)
- Partner nations
- IndiaUnited StatesGermany
In The Last Decade
Arnab China
24 papers receiving 550 citations
Peers
Comparison fields: 5 of 77
- Molecular Medicine 53
- Infectious Diseases 160
- Organic Chemistry 201
- Molecular Biology 360
- Toxicology 15
Countries citing papers authored by Arnab China
This map shows the geographic impact of Arnab China'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 Arnab China with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arnab China more than expected).
Fields of papers citing papers by Arnab China
This network shows the impact of papers produced by Arnab China. 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 Arnab China. The network helps show where Arnab China may publish in the future.
Co-authors
The 25 scholars most cited alongside Arnab China, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 98 | |
| 2 | 2006 | 71 | |
| 3 | 2008 | 56 | |
| 4 | 2007 | 46 | |
| 5 | 2007 | 45 | |
| 6 | 2007 | 39 | |
| 7 | 2007 | 23 | |
| 8 | 2010 | 22 | |
| 9 | 2007 | 20 | |
| 10 | 2009 | 18 | |
| 11 | 2008 | 16 | |
| 12 | 2012 | 16 | |
| 13 | 2011 | 14 | |
| 14 | 2008 | 14 | |
| 15 | 2006 | 14 | |
| 16 | 2011 | 13 | |
| 17 | 2023 | 9 | |
| 18 | 2018 | 9 | |
| 19 | 2010 | 9 | |
| 20 | 2007 | 5 |
About Arnab China
Arnab China is a scholar working on Molecular Biology, Infectious Diseases, Epidemiology, Organic Chemistry and Genetics, having authored 24 papers that have together received 568 indexed citations. Recurring topics across this work include Cancer therapeutics and mechanisms (9 papers), RNA and protein synthesis mechanisms (9 papers), Tuberculosis Research and Epidemiology (9 papers), Mycobacterium research and diagnosis (8 papers), Synthesis and biological activity (6 papers), Synthesis and Biological Evaluation (5 papers), Bacterial Genetics and Biotechnology (5 papers) and RNA modifications and cancer (4 papers). The work is most often cited by research in Molecular Medicine (53 citations), Infectious Diseases (160 citations), Organic Chemistry (201 citations), Molecular Biology (360 citations) and Toxicology (15 citations). Arnab China has collaborated with scholars based in India, United States and Germany. Frequent co-authors include Valakunja Nagaraja, Dharmarajan Sriram, Murugesan Dinakaran, Perumal Yogeeswari, Palaniappan Senthilkumar, Vikas Jain, R. Saleem-Batcha, Dipankar Chatterji, Paul L. Fox and K.I. Vasu. Their work appears in journals such as Microbiology, Nature Communications, Bioorganic & Medicinal Chemistry, PLoS ONE and Biochemical and Biophysical Research Communications.
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.