Mohammad Shekari
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Obstetrics and Gynecology top 10%
Papers in
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- Epigenetics and DNA Methylation 5
- Circular RNAs in diseases 4
- Cancer-related gene regulation 4
- RNA Research and Splicing 4
- RNA modifications and cancer 4
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- Cancer-related molecular mechanisms research 8
- MicroRNA in disease regulation 7
- Co-authors
- Dor Mohammad Kordi-Tamandani (11 shared papers)Ranbir Chander Sobti (9 shared papers)Vanita Suri (9 shared papers)Pegah Mousavi (8 shared papers)Kianoosh Malekzadeh (5 shared papers)Anju Huria (4 shared papers)Mohsen Nikbakht (2 shared papers)Amin Reza Nikpoor (2 shared papers)
In The Last Decade
Mohammad Shekari
43 papers receiving 541 citations
Peers
Comparison fields: 5 of 63
- Cancer Research 143
- Obstetrics and Gynecology 40
- Immunology 90
- Oncology 95
- Epidemiology 101
Countries citing papers authored by Mohammad Shekari
This map shows the geographic impact of Mohammad Shekari'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 Shekari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Shekari more than expected).
Fields of papers citing papers by Mohammad Shekari
This network shows the impact of papers produced by Mohammad Shekari. 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 Shekari. The network helps show where Mohammad Shekari may publish in the future.
Co-authors
The 25 scholars most cited alongside Mohammad Shekari, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 35 | |
| 2 | 2009 | 32 | |
| 3 | 2008 | 30 | |
| 4 | 2022 | 28 | |
| 5 | Expression and polimorphism of IFN-gamma gene in patients with cervical cancer. | 2008 | 26 |
| 6 | 2007 | 25 | |
| 7 | 2018 | 22 | |
| 8 | Association of Fas-670 gene polymorphism with risk of cervical cancer in North Indian population. | 2008 | 21 |
| 9 | 2008 | 21 | |
| 10 | 2012 | 20 | |
| 11 | 2020 | 19 | |
| 12 | 2021 | 19 | |
| 13 | 2007 | 18 | |
| 14 | 2009 | 18 | |
| 15 | 2017 | 18 | |
| 16 | 2022 | 15 | |
| 17 | Efficiency of Nested-PCR in Detecting Asymptomatic Cases toward Malaria Elimination Program in an Endemic Area of Iran. | 2015 | 15 |
| 18 | 2016 | 15 | |
| 19 | 2020 | 14 | |
| 20 | 2015 | 14 |
About Mohammad Shekari
Mohammad Shekari is a scholar working on Molecular Biology, Cancer Research, Immunology, Surgery and Public Health, Environmental and Occupational Health, having authored 44 papers that have together received 556 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (8 papers), MicroRNA in disease regulation (7 papers), Epigenetics and DNA Methylation (5 papers), Circular RNAs in diseases (4 papers), Cancer-related gene regulation (4 papers), IL-33, ST2, and ILC Pathways (4 papers), RNA Research and Splicing (4 papers) and RNA modifications and cancer (4 papers). The work is most often cited by research in Cancer Research (143 citations), Obstetrics and Gynecology (40 citations), Immunology (90 citations), Oncology (95 citations) and Epidemiology (101 citations). Mohammad Shekari has collaborated with scholars based in Iran, India and Pakistan. Frequent co-authors include Dor Mohammad Kordi-Tamandani, Ranbir Chander Sobti, Vanita Suri, Pegah Mousavi, Kianoosh Malekzadeh, Anju Huria, Mohsen Nikbakht, Amin Reza Nikpoor, Ahmad Tahmasebi and Shrawan Kumar Singh. Their work appears in journals such as Archives of Gynecology and Obstetrics, Gene, Journal of Cellular and Molecular Medicine, The International Journal of Biological Markers and Epigenomics.
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.