Mohammad Shekari

856 total citations
40 papers, 475 citations indexed

About

Mohammad Shekari is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Mohammad Shekari has authored 40 papers receiving a total of 475 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 15 papers in Cancer Research and 9 papers in Immunology. Recurrent topics in Mohammad Shekari's work include Cancer-related molecular mechanisms research (10 papers), Epigenetics and DNA Methylation (6 papers) and MicroRNA in disease regulation (5 papers). Mohammad Shekari is often cited by papers focused on Cancer-related molecular mechanisms research (10 papers), Epigenetics and DNA Methylation (6 papers) and MicroRNA in disease regulation (5 papers). Mohammad Shekari collaborates with scholars based in Iran, India and Pakistan. Mohammad Shekari's co-authors include Dor Mohammad Kordi-Tamandani, Ranbir Chander Sobti, Vanita Suri, Kianoosh Malekzadeh, Anju Huria, Pegah Mousavi, Azim Nejatizadeh, Pushpinder Kaur, Shrawan Kumar Singh and Mohsen Nikbakht and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Gene.

In The Last Decade

Mohammad Shekari

40 papers receiving 460 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 Shekari Iran 15 185 132 120 109 100 40 475
Dae Hoon Jeong South Korea 13 184 1.0× 53 0.4× 122 1.0× 128 1.2× 86 0.9× 41 464
Karishma Mehra United States 10 134 0.7× 70 0.5× 99 0.8× 93 0.9× 42 0.4× 11 578
Theofano Orfanelli United States 9 103 0.6× 55 0.4× 83 0.7× 100 0.9× 115 1.1× 31 352
Nathalie Reesink‐Peters Netherlands 13 200 1.1× 95 0.7× 225 1.9× 70 0.6× 33 0.3× 18 470
Anne Feyler France 6 86 0.5× 53 0.4× 88 0.7× 73 0.7× 46 0.5× 7 388
M David Israel 11 260 1.4× 192 1.5× 65 0.5× 58 0.5× 30 0.3× 24 518
Shanthi Sabarimurugan Australia 12 188 1.0× 195 1.5× 34 0.3× 153 1.4× 31 0.3× 27 443
Atsushi Yoshida Japan 14 171 0.9× 104 0.8× 40 0.3× 46 0.4× 67 0.7× 41 608
Karim ElSahwi United States 12 134 0.7× 40 0.3× 67 0.6× 167 1.5× 80 0.8× 25 527
Linn Wölber Germany 8 101 0.5× 37 0.3× 142 1.2× 85 0.8× 28 0.3× 24 419

Countries citing papers authored by Mohammad Shekari

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Mohammad Shekari

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Shekari. A scholar is included among the top collaborators of Mohammad Shekari 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 Shekari. Mohammad Shekari 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.
Kheirandish, Masoumeh, et al.. (2024). Cellular senescence molecules expression in type 2 diabetes mellitus: CDKN2A, CDKN2B, and lncRNA ANRIL. Gene. 911. 148319–148319. 3 indexed citations
2.
Mohseni, Fatemeh, et al.. (2024). Increased expression level of Dicer in placenta is associated with the early onset of preeclampsia. International Journal of Reproductive BioMedicine (IJRM). 21(12). 1031–1034. 3 indexed citations
3.
Nejatizadeh, Azim, Mohammad Shekari, Hossein Farshidi, et al.. (2022). Cohort profile: Bandar Kong prospective study of chronic non-communicable diseases. PLoS ONE. 17(5). e0265388–e0265388. 15 indexed citations
4.
Shekari, Mohammad, et al.. (2020). Haloperidol’s Effect on the Expressions of TGFB, NT-3, and BDNF genes in Cultured Rat Microglia. Basic and Clinical Neuroscience Journal. 11(1). 49–58. 1 indexed citations
5.
6.
Ayatollahi, Hossein, et al.. (2018). The Association of Gastritis and Peptic Ulcer With Polymorphisms in the Inflammatory-related Genes IL-4 and IL-10 in Iranian Population. Iranian journal of pathology. 13(2). 229–236. 5 indexed citations
7.
Nematollahi, Shahrzad, Mohammad Alì Mansournia, Abbas Rahimi Foroushani, et al.. (2018). The effects of water-pipe smoking on birth weight: a population-based prospective cohort study in southern Iran. Epidemiology and Health. 40. e2018008–e2018008. 20 indexed citations
8.
9.
Oloomi, Mana, et al.. (2017). An association study between CHEK2 gene mutations and susceptibility to breast cancer. Comparative Clinical Pathology. 26(4). 837–845. 18 indexed citations
10.
Shekari, Mohammad, et al.. (2016). Evaluation of frequency polymorphism Interleukin 1B gene in patients with peptic ulcer and chronic gastritis. Bimonthly Journal of Hormozgan University of Medical Sciences. 19(6). 407–412. 1 indexed citations
11.
Shekari, Mohammad, et al.. (2016). Upregulation of the double-stranded RNA binding protein DGCR8 in invasive ductal breast carcinoma. Gene. 581(2). 146–151. 14 indexed citations
12.
Nejatizadeh, Azim, et al.. (2015). Dysregulated expression of Dicer in invasive ductal breast carcinoma. Medical Oncology. 32(7). 203–203. 14 indexed citations
13.
Makiani, Mahin Jamshidi, et al.. (2012). The impact of human papillomavirus (HPV) types 6, 11 in women with genital warts. Archives of Gynecology and Obstetrics. 286(5). 1261–1267. 20 indexed citations
14.
Shahtaheri, Seyed Jamaled­din, et al.. (2012). Urinary 1-hydroxypyrene as a biomarker of carcinogenic polycyclic aromatic hydrocarbons in Iranian carbon anode plant workers. SHILAP Revista de lepidopterología. 1(1). 44–44. 2 indexed citations
15.
Shekari, Mohammad, et al.. (2009). CpG island methylation of TMS1/ASC and CASP8 genes in cervical cancer. European journal of medical research. 14(2). 71–71. 10 indexed citations
16.
Kordi-Tamandani, Dor Mohammad, Mohammad Shekari, & Vanita Suri. (2009). Interleukin-12 Gene Polymorphism and Cervical Cancer Risk. American Journal of Clinical Oncology. 32(5). 524–528. 16 indexed citations
17.
Malekzadeh, Kianoosh, Ranbir Chander Sobti, Mohsen Nikbakht, et al.. (2009). Methylation Patterns ofRb1andCasp-8Promoters and Their Impact on Their Expression in Bladder Cancer. Cancer Investigation. 27(1). 70–80. 29 indexed citations
18.
Kordi-Tamandani, Dor Mohammad, et al.. (2009). No association of TAP1 and TAP2 genes polymorphism with risk of cervical cancer in north Indian population. Journal of Assisted Reproduction and Genetics. 26(4). 173–178. 6 indexed citations
19.
Shekari, Mohammad, Ranbir Chander Sobti, Dor Mohammad Kordi-Tamandani, & Vanita Suri. (2008). Impact of methylenetetrahydrofolate reductase (MTHFR) codon (677) and methionine synthase (MS) codon (2756) on risk of cervical carcinogenesis in North Indian population. Archives of Gynecology and Obstetrics. 278(6). 517–524. 29 indexed citations
20.
Sobti, Ranbir Chander, et al.. (2007). Interleukin 1 beta gene polymorphism and risk of cervical cancer. International Journal of Gynecology & Obstetrics. 101(1). 47–52. 23 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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