Badri Parshad
Impact in
- Biomaterials top 10%
- Nanoparticle-Based Drug Delivery
- Supramolecular Self-Assembly in Materials
- Organic Chemistry top 10%
- Advanced Polymer Synthesis and Characterization
Papers in
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- Advanced Polymer Synthesis and Characterization 7
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- RNA Interference and Gene Delivery 7
- Co-authors
- Rainer Haag (15 shared papers)Yuanwei Pan (11 shared papers)Sunil Sharma (10 shared papers)Sumati Bhatia (11 shared papers)Suqiong Zhou (3 shared papers)Chuanxiong Nie (7 shared papers)Xuehua Ma (2 shared papers)Aiguo Wu (2 shared papers)
- Journals
- Angewandte Chemie International Edition (2 papers)European Polymer Journal (2 papers)Bioactive Materials (1 paper)Materials Advances (1 paper)Nano Letters (1 paper)
- Partner nations
- GermanyIndiaUnited Kingdom
In The Last Decade
Badri Parshad
35 papers receiving 692 citations
Peers
Comparison fields: 5 of 89
- Biomaterials 182
- Organic Chemistry 158
- Biomedical Engineering 209
- Molecular Medicine 20
- Molecular Biology 237
Countries citing papers authored by Badri Parshad
This map shows the geographic impact of Badri Parshad'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 Badri Parshad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Badri Parshad more than expected).
Fields of papers citing papers by Badri Parshad
This network shows the impact of papers produced by Badri Parshad. 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 Badri Parshad. The network helps show where Badri Parshad may publish in the future.
Co-authors
The 25 scholars most cited alongside Badri Parshad, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 81 | |
| 2 | 2020 | 57 | |
| 3 | 2020 | 46 | |
| 4 | 2020 | 38 | |
| 5 | 2022 | 34 | |
| 6 | 2015 | 34 | |
| 7 | 2021 | 33 | |
| 8 | 2021 | 32 | |
| 9 | 2023 | 31 | |
| 10 | 2020 | 30 | |
| 11 | 2014 | 28 | |
| 12 | 2020 | 27 | |
| 13 | 2020 | 21 | |
| 14 | 2025 | 20 | |
| 15 | 2022 | 17 | |
| 16 | 2024 | 17 | |
| 17 | 2021 | 16 | |
| 18 | 2021 | 16 | |
| 19 | 2016 | 15 | |
| 20 | 2019 | 13 |
About Badri Parshad
Badri Parshad is a scholar working on Organic Chemistry, Molecular Biology, Biomaterials, Immunology and Epidemiology, having authored 35 papers that have together received 694 indexed citations. Recurring topics across this work include Advanced Polymer Synthesis and Characterization (7 papers), RNA Interference and Gene Delivery (7 papers), Influenza Virus Research Studies (7 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Nanoplatforms for cancer theranostics (6 papers), Immunotherapy and Immune Responses (4 papers), Supramolecular Self-Assembly in Materials (4 papers) and Dendrimers and Hyperbranched Polymers (3 papers). The work is most often cited by research in Biomaterials (182 citations), Organic Chemistry (158 citations), Biomedical Engineering (209 citations), Molecular Medicine (20 citations) and Molecular Biology (237 citations). Badri Parshad has collaborated with scholars based in Germany, India and United Kingdom. Frequent co-authors include Rainer Haag, Yuanwei Pan, Sunil Sharma, Sumati Bhatia, Suqiong Zhou, Chuanxiong Nie, Xuehua Ma, Aiguo Wu, Jie Xing and Wenzhong Li. Their work appears in journals such as Angewandte Chemie International Edition, European Polymer Journal, Bioactive Materials, Materials Advances and Nano Letters.
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.