Mohammad Aqdas
Impact in
- Immunology top 10%
- Immune cells in cancer
- Immune Response and Inflammation
- Immune Cell Function and Interaction
- Phagocytosis and Immune Regulation
- Immunotherapy and Immune Responses
- Infectious Diseases top 10%
- Tuberculosis Research and Epidemiology
Papers in
- Immunology 16
- Immune Response and Inflammation 11
- Immune cells in cancer 4
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- Tuberculosis Research and Epidemiology 10
- Co-authors
- Javed N. Agrewala (11 shared papers)Susanta Pahari (10 shared papers)Shikha Negi (7 shared papers)Myong‐Hee Sung (7 shared papers)Nargis Khan (8 shared papers)Aurobind Vidyarthi (5 shared papers)Tapan Agnihotri (3 shared papers)Deepjyoti Kumar Das (3 shared papers)
- Journals
- Frontiers in Immunology (5 papers)Scientific Reports (3 papers)Cell Reports (2 papers)Autophagy (1 paper)Aging (1 paper)
- Partner nations
- IndiaUnited StatesCanada
In The Last Decade
Mohammad Aqdas
23 papers receiving 586 citations
Peers
Comparison fields: 5 of 83
- Immunology 324
- Infectious Diseases 159
- Aging 10
- Physiology 20
- Epidemiology 146
Countries citing papers authored by Mohammad Aqdas
This map shows the geographic impact of Mohammad Aqdas'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 Mohammad Aqdas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Aqdas more than expected).
Fields of papers citing papers by Mohammad Aqdas
This network shows the impact of papers produced by Mohammad Aqdas. 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 Mohammad Aqdas. The network helps show where Mohammad Aqdas may publish in the future.
Co-authors
The 25 scholars most cited alongside Mohammad Aqdas, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 126 | |
| 2 | 2019 | 64 | |
| 3 | 2022 | 46 | |
| 4 | 2022 | 39 | |
| 5 | 2016 | 39 | |
| 6 | 2015 | 28 | |
| 7 | 2018 | 28 | |
| 8 | 2016 | 26 | |
| 9 | 2016 | 24 | |
| 10 | 2018 | 24 | |
| 11 | 2017 | 23 | |
| 12 | 2022 | 21 | |
| 13 | 2022 | 16 | |
| 14 | 2017 | 12 | |
| 15 | 2020 | 11 | |
| 16 | 2021 | 10 | |
| 17 | 2021 | 10 | |
| 18 | 2022 | 8 | |
| 19 | 2024 | 8 | |
| 20 | 2021 | 8 |
About Mohammad Aqdas
Mohammad Aqdas is a scholar working on Immunology, Infectious Diseases, Molecular Biology, Epidemiology and Oncology, having authored 24 papers that have together received 588 indexed citations. Recurring topics across this work include Immune Response and Inflammation (11 papers), Tuberculosis Research and Epidemiology (10 papers), Mycobacterium research and diagnosis (4 papers), Immune cells in cancer (4 papers), Advanced biosensing and bioanalysis techniques (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), RNA Interference and Gene Delivery (3 papers) and NF-κB Signaling Pathways (3 papers). The work is most often cited by research in Immunology (324 citations), Infectious Diseases (159 citations), Aging (10 citations), Physiology (20 citations) and Epidemiology (146 citations). Mohammad Aqdas has collaborated with scholars based in India, United States and Canada. Frequent co-authors include Javed N. Agrewala, Susanta Pahari, Shikha Negi, Myong‐Hee Sung, Nargis Khan, Aurobind Vidyarthi, Tapan Agnihotri, Deepjyoti Kumar Das, Javed N. Agrewala and Sanpreet Singh. Their work appears in journals such as Frontiers in Immunology, Scientific Reports, Cell Reports, Autophagy and Aging.
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.