Ipsita Pal‐Bhowmick
- Public Health, Environmental and Occupational Health top 10%
- Molecular Biology
- Parasitology top 5%
- Immunology
- Epidemiology
- Co-authors
- Gotam K. JaroriJoseph BrzostowskiMahmood M. AlamShailja SinghChetan E. ChitnisShobhona SharmaMonika MehtaIsabelle Coppens
- Topics
- Computational Drug Discovery Methods (3 papers)S100 Proteins and Annexins (3 papers)Malaria Research and Control (3 papers)
- Journals
- Biochemical and Biophysical Research CommunicationsInfection and ImmunityEuropean Journal of Biochemistry
- Partner nations
- IndiaUnited StatesItaly
In The Last Decade
Ipsita Pal‐Bhowmick
9 papers receiving 447 citations
Peers
Comparison fields: 5 of 57
- Public Health, Environmental and Occupational Health 244
- Molecular Biology 161
- Parasitology 116
- Immunology 112
- Epidemiology 76
Countries citing papers authored by Ipsita Pal‐Bhowmick
This map shows the geographic impact of Ipsita Pal‐Bhowmick'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 Ipsita Pal‐Bhowmick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ipsita Pal‐Bhowmick more than expected).
Fields of papers citing papers by Ipsita Pal‐Bhowmick
This network shows the impact of papers produced by Ipsita Pal‐Bhowmick. 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 Ipsita Pal‐Bhowmick. The network helps show where Ipsita Pal‐Bhowmick may publish in the future.
Co-authorship network of co-authors of Ipsita Pal‐Bhowmick
This figure shows the co-authorship network connecting the top 25 collaborators of Ipsita Pal‐Bhowmick. A scholar is included among the top collaborators of Ipsita Pal‐Bhowmick 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 Ipsita Pal‐Bhowmick. Ipsita Pal‐Bhowmick is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 221 | |
| 3 | 21 | |
| 4 | 16 | |
| 5 | 58 | |
| 6 | 12 | |
| 7 | 61 | |
| 8 | Generation and characterisation of monoclonal antibodies specific to Plasmodium falciparum enolase. | 5 |
| 9 | 46 |
About Ipsita Pal‐Bhowmick
Ipsita Pal‐Bhowmick is a scholar working on Computational Theory and Mathematics, Parasitology and Cancer Research, having authored 9 papers that have together received 453 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (3 papers), S100 Proteins and Annexins (3 papers) and Malaria Research and Control (3 papers). The work is most often cited by research in Parasitology (116 citations), Public Health, Environmental and Occupational Health (244 citations) and Immunology (112 citations). Ipsita Pal‐Bhowmick has collaborated with scholars based in India, United States and Italy. Frequent co-authors include Gotam K. Jarori, Joseph Brzostowski, Mahmood M. Alam, Shailja Singh, Chetan E. Chitnis, Shobhona Sharma, Monika Mehta, Isabelle Coppens, Alfica Sehgal and Sadagopan Krishnan. Their work appears in journals such as Biochemical and Biophysical Research Communications, Infection and Immunity and European Journal of Biochemistry.
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.