J. Anand Subramony
- Pharmaceutical Science top 1%
- Advanced Drug Delivery Systems 5
- Drug Solubulity and Delivery Systems 3
- Biomaterials top 5%
- Nanoparticle-Based Drug Delivery 3
- Molecular Medicine top 10%
- Biomedical Engineering top 10%
- Bioengineering top 10%
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- Protein purification and stability 5
- RNA Interference and Gene Delivery 3
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- Solid-state spectroscopy and crystallography 5
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- Monoclonal and Polyclonal Antibodies Research 4
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- Crystal Structures and Properties 3
- Co-authors
- Amir FakhariPuneet TyagiBart KahrSergei PechenovJyothsna ManikkathGuozhen LiuMercy R. BenzigarNigel H. Lovell
- Journals
- Journal of the American Chemical Society (1 paper)Advanced Materials (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesUnited KingdomIndia
In The Last Decade
J. Anand Subramony
37 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 128
- Pharmaceutical Science 284
- Biomaterials 248
- Molecular Medicine 63
- Biomedical Engineering 410
- Bioengineering 35
Countries citing papers authored by J. Anand Subramony
This map shows the geographic impact of J. Anand Subramony'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 J. Anand Subramony with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Anand Subramony more than expected).
Fields of papers citing papers by J. Anand Subramony
This network shows the impact of papers produced by J. Anand Subramony. 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 J. Anand Subramony. The network helps show where J. Anand Subramony may publish in the future.
Co-authorship network
The 25 scholars most cited alongside J. Anand Subramony, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2023 | 52 | |
| 3 | 2023 | 6 | |
| 4 | 2021 | 22 | |
| 5 | 2021 | 24 | |
| 6 | 2021 | 55 | |
| 7 | 2021 | 63 | |
| 8 | 2018 | 142 | |
| 9 | 2018 | 2 | |
| 10 | 2018 | 47 | |
| 11 | 2018 | 13 | |
| 12 | 2018 | 106 | |
| 13 | 2017 | 20 | |
| 14 | 2017 | 9 | |
| 15 | 2017 | 23 | |
| 16 | 2017 | 8 | |
| 17 | 2015 | 150 | |
| 18 | 2013 | 18 | |
| 19 | 1999 | 30 | |
| 20 | 1996 | 39 |
About J. Anand Subramony
J. Anand Subramony is a scholar working on Pharmaceutical Science, Biomaterials and Cellular and Molecular Neuroscience, having authored 38 papers that have together received 1.3k indexed citations. Recurring topics across this work include Protein purification and stability (5 papers), Solid-state spectroscopy and crystallography (5 papers), Advanced Drug Delivery Systems (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Drug Solubulity and Delivery Systems (3 papers), RNA Interference and Gene Delivery (3 papers), Crystal Structures and Properties (3 papers) and Nanoparticle-Based Drug Delivery (3 papers). The work is most often cited by research in Pharmaceutical Science (284 citations), Biomaterials (248 citations) and Molecular Medicine (63 citations). J. Anand Subramony has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Amir Fakhari, Puneet Tyagi, Bart Kahr, Sergei Pechenov, Jyothsna Manikkath, Guozhen Liu, Mercy R. Benzigar, Nigel H. Lovell, Scott Lovell and Sei‐Hum Jang. Their work appears in journals such as Journal of the American Chemical Society, Advanced Materials 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.