Archana Pan
Impact in
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
- Endocrinology top 10%
Papers in
-
- Genomics and Phylogenetic Studies 6
- RNA and protein synthesis mechanisms 5
-
- Tuberculosis Research and Epidemiology 3
- Co-authors
- Chitra Dutta (7 shared papers)Jyotirmoy Das (2 shared papers)Soumalee Basu (1 shared paper)Ankush Jadhav (3 shared papers)O. P. Sharma (3 shared papers)Chandrajit Lahiri (2 shared papers)Regina Sharmila Dass (2 shared papers)Sabyasachi Das (2 shared papers)
- Journals
- Medicinal Chemistry Research (2 papers)Molecular Diversity (2 papers)FEBS Letters (2 papers)Frontiers in Microbiology (1 paper)International Journal of Biological Macromolecules (1 paper)
- Partner nations
- IndiaUnited StatesMalaysia
In The Last Decade
Archana Pan
31 papers receiving 642 citations
Peers
Comparison fields: 5 of 87
- Molecular Medicine 52
- Endocrinology 36
- Molecular Biology 464
- Infectious Diseases 83
- Microbiology 26
Countries citing papers authored by Archana Pan
This map shows the geographic impact of Archana Pan'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 Archana Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Archana Pan more than expected).
Fields of papers citing papers by Archana Pan
This network shows the impact of papers produced by Archana Pan. 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 Archana Pan. The network helps show where Archana Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Archana Pan, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 88 | |
| 2 | 2013 | 87 | |
| 3 | 1997 | 75 | |
| 4 | 1998 | 52 | |
| 5 | 2015 | 32 | |
| 6 | 2012 | 30 | |
| 7 | 2012 | 29 | |
| 8 | 2014 | 26 | |
| 9 | 2020 | 25 | |
| 10 | 2023 | 23 | |
| 11 | 2005 | 22 | |
| 12 | 2011 | 19 | |
| 13 | 2013 | 18 | |
| 14 | 2017 | 18 | |
| 15 | 2005 | 15 | |
| 16 | 2011 | 13 | |
| 17 | 2017 | 12 | |
| 18 | 2005 | 11 | |
| 19 | 2011 | 11 | |
| 20 | 2022 | 11 |
About Archana Pan
Archana Pan is a scholar working on Molecular Biology, Infectious Diseases, Plant Science, Epidemiology and Organic Chemistry, having authored 33 papers that have together received 662 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (6 papers), RNA and protein synthesis mechanisms (5 papers), Computational Drug Discovery Methods (4 papers), Antibiotic Resistance in Bacteria (4 papers), Bacterial Genetics and Biotechnology (3 papers), Tuberculosis Research and Epidemiology (3 papers), Research on Leishmaniasis Studies (3 papers) and Trypanosoma species research and implications (3 papers). The work is most often cited by research in Molecular Medicine (52 citations), Endocrinology (36 citations), Molecular Biology (464 citations), Infectious Diseases (83 citations) and Microbiology (26 citations). Archana Pan has collaborated with scholars based in India, United States and Malaysia. Frequent co-authors include Chitra Dutta, Jyotirmoy Das, Soumalee Basu, Ankush Jadhav, O. P. Sharma, Chandrajit Lahiri, Regina Sharmila Dass, Sabyasachi Das, Premendu P. Mathur and Sourav RoyChoudhury. Their work appears in journals such as Medicinal Chemistry Research, Molecular Diversity, FEBS Letters, Frontiers in Microbiology and International Journal of Biological Macromolecules.
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.