Bijal A. Parikh
- Immunology top 10%
- Molecular Biology
- Biotechnology top 5%
- Biomedical Engineering
- Infectious Diseases top 10%
- Co-authors
- Nilgun E. TumerWayne M. YokoyamaBipin G. NairTarun B. PatelLiping YangGeorge MilliganDiana L. BeckmanJennifer Poursine‐Laurent
- Topics
- Immune Cell Function and Interaction (11 papers)SARS-CoV-2 detection and testing (9 papers)SARS-CoV-2 and COVID-19 Research (8 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryNature Communications
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Bijal A. Parikh
42 papers receiving 777 citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Immunology 346
- Molecular Biology 317
- Biotechnology 136
- Biomedical Engineering 134
- Infectious Diseases 130
Countries citing papers authored by Bijal A. Parikh
This map shows the geographic impact of Bijal A. Parikh'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 Bijal A. Parikh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bijal A. Parikh more than expected).
Fields of papers citing papers by Bijal A. Parikh
This network shows the impact of papers produced by Bijal A. Parikh. 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 Bijal A. Parikh. The network helps show where Bijal A. Parikh may publish in the future.
Co-authorship network of co-authors of Bijal A. Parikh
This figure shows the co-authorship network connecting the top 25 collaborators of Bijal A. Parikh. A scholar is included among the top collaborators of Bijal A. Parikh 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 Bijal A. Parikh. Bijal A. Parikh 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 | 2 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 8 | |
| 8 | Ultrasensitive lateral-flow assays via plasmonically active antibody-conjugated fluorescent nanoparticlesbreakdown → | 130 |
| 9 | 36 | |
| 10 | 2 | |
| 11 | 1 | |
| 12 | 7 | |
| 13 | 21 | |
| 14 | 22 | |
| 15 | 14 | |
| 16 | 1 | |
| 17 | 41 | |
| 18 | 14 | |
| 19 | 32 | |
| 20 | 66 |
About Bijal A. Parikh
Bijal A. Parikh is a scholar working on Infectious Diseases, Immunology and Transplantation, having authored 48 papers that have together received 800 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (11 papers), SARS-CoV-2 detection and testing (9 papers) and SARS-CoV-2 and COVID-19 Research (8 papers). The work is most often cited by research in Immunology (346 citations), Biotechnology (136 citations) and Infectious Diseases (130 citations). Bijal A. Parikh has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Nilgun E. Tumer, Wayne M. Yokoyama, Bipin G. Nair, Tarun B. Patel, Liping Yang, George Milligan, Diana L. Beckman, Jennifer Poursine‐Laurent, Ping Li and Jonathan D. Dinman. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature 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.