Mohammad Abbas

444 total citations
21 papers, 290 citations indexed

About

Mohammad Abbas is a scholar working on Molecular Biology, Epidemiology and Infectious Diseases. According to data from OpenAlex, Mohammad Abbas has authored 21 papers receiving a total of 290 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Epidemiology and 4 papers in Infectious Diseases. Recurrent topics in Mohammad Abbas's work include Glutathione Transferases and Polymorphisms (5 papers), Cervical Cancer and HPV Research (5 papers) and COVID-19 Clinical Research Studies (4 papers). Mohammad Abbas is often cited by papers focused on Glutathione Transferases and Polymorphisms (5 papers), Cervical Cancer and HPV Research (5 papers) and COVID-19 Clinical Research Studies (4 papers). Mohammad Abbas collaborates with scholars based in India, Ireland and United States. Mohammad Abbas's co-authors include Monisha Banerjee, Sushma Verma, Farzana Mahdi, Syed Tasleem Raza, Faizan Haider Khan, Zeba Siddiqi, Kirti Srivastava, Mahmoud A. Alkhateeb, Mohammad Dallak and Mohammad Khalil and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Surgical Endoscopy.

In The Last Decade

Mohammad Abbas

16 papers receiving 276 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mohammad Abbas India 11 108 88 43 27 26 21 290
Ikram Din Ujjan Pakistan 10 72 0.7× 69 0.8× 19 0.4× 47 1.7× 18 0.7× 35 338
Dorota Mańkowska‐Wierzbicka Poland 10 162 1.5× 51 0.6× 50 1.2× 11 0.4× 42 1.6× 32 305
Magloire Pandoua Nekoua France 13 76 0.7× 91 1.0× 46 1.1× 35 1.3× 9 0.3× 30 390
Haibo Zhou China 6 74 0.7× 124 1.4× 31 0.7× 33 1.2× 9 0.3× 13 353
Kely Campos Navegantes-Lima Brazil 8 127 1.2× 40 0.5× 29 0.7× 11 0.4× 25 1.0× 11 307
Fanny Pojero Italy 12 100 0.9× 53 0.6× 49 1.1× 15 0.6× 15 0.6× 25 341
Zeenat Hamid India 6 165 1.5× 61 0.7× 23 0.5× 23 0.9× 6 0.2× 10 344
Yuan Gong China 11 68 0.6× 35 0.4× 33 0.8× 22 0.8× 9 0.3× 31 283
Xiaocui Zhou China 9 128 1.2× 45 0.5× 103 2.4× 17 0.6× 15 0.6× 11 302

Countries citing papers authored by Mohammad Abbas

Since Specialization
Citations

This map shows the geographic impact of Mohammad Abbas'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 Abbas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Abbas more than expected).

Fields of papers citing papers by Mohammad Abbas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohammad Abbas. 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 Abbas. The network helps show where Mohammad Abbas may publish in the future.

Co-authorship network of co-authors of Mohammad Abbas

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Abbas. A scholar is included among the top collaborators of Mohammad Abbas based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mohammad Abbas. Mohammad Abbas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Poylin, Vitaliy, et al.. (2025). Pragmatic approach to implementation of universal MSI testing for new cases of colorectal cancer. Surgical Endoscopy. 39(9). 5636–5642.
2.
Wani, Irshad A., et al.. (2025). Association of APOB (rs515135) and PCSK9 (rs505151) gene polymorphisms with CAD in the Indian population. Biomarkers in Medicine. 19(10). 371–377.
3.
Siddiqui, Sahabjada, et al.. (2025). Punica Granatum L. Cultivar Stimulates Osteogenic Differentiation and Proliferation of Human Osteoblast‐Like Cells. ChemistrySelect. 10(23). 1 indexed citations
4.
Verma, Sushma, et al.. (2024). Impact of interleukin-1 gene polymorphisms on the severity of COVID-19. Human Gene. 41. 201303–201303.
5.
Abbas, Mohammad, et al.. (2022). Understanding Role of DNA Repair and Cytochrome p-450 Gene Polymorphisms in Cervical Cancer Patient Treated With Concomitant Chemoradiation. British Journal of Biomedical Science. 79. 10120–10120. 6 indexed citations
6.
Verma, Sushma, Faizan Haider Khan, Zeba Siddiqi, et al.. (2022). Genetic polymorphisms of IL6 gene –174G > C and –597G > A are associated with the risk of COVID‐19 severity. International Journal of Immunogenetics. 50(1). 5–11. 13 indexed citations
7.
Abbas, Mohammad, et al.. (2021). Note of appreciation/Note de reconnaissance. Canadian Journal of Plant Science. 101(1). iii–iv. 1 indexed citations
8.
Abbas, Mohammad, Sushma Verma, Sahabjada Siddiqui, et al.. (2021). Association of GSTM1 and GSTT1 gene polymorphisms with COVID‐19 susceptibility and its outcome. Journal of Medical Virology. 93(9). 5446–5451. 33 indexed citations
9.
Abbas, Mohammad, Faizan Haider Khan, Sushma Verma, et al.. (2021). Role of miRNAs in cervical cancer: A comprehensive novel approach from pathogenesis to therapy. Journal of Gynecology Obstetrics and Human Reproduction. 50(9). 102159–102159. 10 indexed citations
10.
Verma, Sushma, Mohammad Abbas, Faizan Haider Khan, et al.. (2021). Impact of I/D polymorphism of angiotensin-converting enzyme 1 (ACE1) gene on the severity of COVID-19 patients. Infection Genetics and Evolution. 91. 104801–104801. 68 indexed citations
11.
Verma, Sushma, et al.. (2021). Effectiveness of Blood Pressure and Body Temperature Screening for Severity in COVID-19 Patients. SHILAP Revista de lepidopterología. 147–151.
12.
Abbas, Mohammad, Kamini Srivastava, Mohammad Imran, & Monisha Banerjee. (2019). Genetic polymorphisms in DNA repair genes and their association with cervical cancer. British Journal of Biomedical Science. 76(3). 117–121. 12 indexed citations
13.
Abbas, Mohammad, et al.. (2018). Impact of GSTM1, GSTT1 and GSTP1 genes polymorphisms on clinical toxicities and response to concomitant chemoradiotherapy in cervical cancer. British Journal of Biomedical Science. 75(4). 169–174. 11 indexed citations
14.
Abbas, Mohammad, et al.. (2015). Glutathione S-Transferase Gene Polymorphisms and Treatment Outcome in Cervical Cancer Patients under Concomitant Chemoradiation. PLoS ONE. 10(11). e0142501–e0142501. 11 indexed citations
15.
Abbas, Mohammad, Kirti Srivastava, Mohd Imran, & Monisha Banerjee. (2014). Association of CYP1A1 gene variants rs4646903 (T>C) and rs1048943 (A>G) with cervical cancer in a North Indian population. European Journal of Obstetrics & Gynecology and Reproductive Biology. 176. 68–74. 29 indexed citations
16.
Verma, Sushma, et al.. (2013). ANTIOXIDANT ENZYME LEVELS AS MARKERS FOR TYPE 2 DIABETES MELLITUS. International Journal of Bioassays. 2(4). 685–690. 12 indexed citations
17.
Abbas, Mohammad, et al.. (2013). Barium Enema in the Diagnosis of Hirschsprung's Disease: A Comparison with Rectal Biopsy. SHILAP Revista de lepidopterología. 2(4). 224–224. 3 indexed citations
18.
Abbas, Mohammad, Kirti Srivastava, Mohd Imran, & Monisha Banerjee. (2013). Association of Glutathione S-transferase (GSTM1, GSTT1 and GSTP1) polymorphisms and passive smoking in cervical cancer cases from North India. International Journal of Biomedical Research. 4(12). 655–655. 7 indexed citations
19.
20.
Al‐Hashem, Fahaid, et al.. (2009). Camel's Milk Protects Against Cadmium Chloride Induced Toxicity in White Albino Rats. American Journal of Pharmacology and Toxicology. 4(3). 107–117. 51 indexed citations

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.

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