Mohammad Faheem
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
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- Computational Drug Discovery Methods
Papers in
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- Antibiotic Resistance in Bacteria 7
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- Tuberculosis Research and Epidemiology 2
- Co-authors
- Mohd Danishuddin (5 shared papers)Asad U Khan Arbab Khan (5 shared papers)Keun Woo Lee (1 shared paper)Vikas Kumar (1 shared paper)Md Tabish Rehman (1 shared paper)Deepa Bisht (3 shared papers)Divakar Sharma (3 shared papers)Hafsa Aziz (6 shared papers)
- Journals
- International Journal of Infectious Diseases (2 papers)Drug Discovery Today (2 papers)Journal of Clinical Laboratory Analysis (2 papers)PLoS ONE (2 papers)Familial Cancer (1 paper)
- Partner nations
- IndiaPakistanUnited States
In The Last Decade
Mohammad Faheem
28 papers receiving 398 citations
Peers
Comparison fields: 5 of 61
- Molecular Medicine 120
- Computational Theory and Mathematics 79
- Cancer Research 32
- Infectious Diseases 33
- Epidemiology 48
Countries citing papers authored by Mohammad Faheem
This map shows the geographic impact of Mohammad Faheem'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 Faheem with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Faheem more than expected).
Fields of papers citing papers by Mohammad Faheem
This network shows the impact of papers produced by Mohammad Faheem. 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 Faheem. The network helps show where Mohammad Faheem may publish in the future.
Co-authors
The 25 scholars most cited alongside Mohammad Faheem, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 62 | |
| 2 | 2013 | 54 | |
| 3 | 2017 | 34 | |
| 4 | 2018 | 29 | |
| 5 | 2016 | 28 | |
| 6 | 2017 | 26 | |
| 7 | 2010 | 25 | |
| 8 | 2015 | 25 | |
| 9 | 2013 | 24 | |
| 10 | 2014 | 17 | |
| 11 | 2018 | 15 | |
| 12 | Porocarcinoma: a rare sweat gland malignancy. | 2009 | 11 |
| 13 | 2017 | 11 | |
| 14 | 2019 | 10 | |
| 15 | 2023 | 10 | |
| 16 | 2021 | 7 | |
| 17 | 2019 | 5 | |
| 18 | Mammary Analogue Secretory Carcinoma of Parotid Gland in a Teenage Boy. | 2017 | 4 |
| 19 | 2018 | 4 | |
| 20 | 2020 | 4 |
About Mohammad Faheem
Mohammad Faheem is a scholar working on Molecular Medicine, Infectious Diseases, Epidemiology, Cancer Research and Computational Theory and Mathematics, having authored 32 papers that have together received 420 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (7 papers), Cervical Cancer and HPV Research (3 papers), Tuberculosis Research and Epidemiology (2 papers), Computational Drug Discovery Methods (2 papers), Cancer and Skin Lesions (1 paper), Cancer, Hypoxia, and Metabolism (1 paper), Salivary Gland Tumors Diagnosis and Treatment (1 paper) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Molecular Medicine (120 citations), Computational Theory and Mathematics (79 citations), Cancer Research (32 citations), Infectious Diseases (33 citations) and Epidemiology (48 citations). Mohammad Faheem has collaborated with scholars based in India, Pakistan and United States. Frequent co-authors include Mohd Danishuddin, Asad U Khan Arbab Khan, Keun Woo Lee, Vikas Kumar, Md Tabish Rehman, Deepa Bisht, Divakar Sharma, Hafsa Aziz, Kalaiarasan Ponnusamy and Shazia Fatima. Their work appears in journals such as International Journal of Infectious Diseases, Drug Discovery Today, Journal of Clinical Laboratory Analysis, PLoS ONE and Familial Cancer.
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.