Mohammad A. Mir

1.4k total citations
45 papers, 1.1k citations indexed

About

Mohammad A. Mir is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Mohammad A. Mir has authored 45 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Infectious Diseases, 14 papers in Public Health, Environmental and Occupational Health and 13 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Mohammad A. Mir's work include Viral Infections and Vectors (30 papers), Viral Infections and Outbreaks Research (16 papers) and Mosquito-borne diseases and control (13 papers). Mohammad A. Mir is often cited by papers focused on Viral Infections and Vectors (30 papers), Viral Infections and Outbreaks Research (16 papers) and Mosquito-borne diseases and control (13 papers). Mohammad A. Mir collaborates with scholars based in United States, India and United Kingdom. Mohammad A. Mir's co-authors include Antonito T. Panganiban, E.Chung-Chin Cheng, Absarul Haque, Dipak Dasgupta, Brian Hjelle, Safder S. Ganaie, Zekun Wang, Abdul Haseeb, Subbiah Jeeva and Suman Das and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The EMBO Journal.

In The Last Decade

Mohammad A. Mir

43 papers receiving 1.1k 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 A. Mir United States 22 818 316 263 248 221 45 1.1k
Xiǎohóng Shí United Kingdom 21 823 1.0× 368 1.2× 125 0.5× 513 2.1× 144 0.7× 51 1.2k
Juan Reguera France 20 948 1.2× 353 1.1× 85 0.3× 192 0.8× 254 1.1× 30 1.4k
Pierre Vialat France 13 967 1.2× 282 0.9× 253 1.0× 517 2.1× 68 0.3× 16 1.1k
Maria Rosenthal Germany 15 429 0.5× 219 0.7× 55 0.2× 83 0.3× 151 0.7× 24 633
Thang Truong Canada 14 343 0.4× 144 0.5× 79 0.3× 145 0.6× 79 0.4× 32 605
Jonas Näslund Sweden 17 540 0.7× 344 1.1× 99 0.4× 176 0.7× 181 0.8× 31 959
Alexander J. McAuley United States 13 970 1.2× 514 1.6× 190 0.7× 428 1.7× 119 0.5× 26 1.1k
Donghoon Chung United States 17 432 0.5× 254 0.8× 58 0.2× 27 0.1× 218 1.0× 40 834
Takeshi Nabeshima Japan 19 691 0.8× 647 2.0× 17 0.1× 105 0.4× 269 1.2× 49 1.2k
Shin Murakami Japan 20 588 0.7× 84 0.3× 37 0.1× 168 0.7× 167 0.8× 65 1.1k

Countries citing papers authored by Mohammad A. Mir

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad A. Mir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammad A. Mir

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad A. Mir. A scholar is included among the top collaborators of Mohammad A. Mir 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 A. Mir. Mohammad A. Mir 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.
Jeeva, Subbiah, et al.. (2025). Development of FRET-based cap-snatching endonuclease assay. Microbiology Spectrum. 13(5). e0328924–e0328924.
2.
Mir, Mohammad A., et al.. (2024). The mRNA vaccine, a swift warhead against a moving infectious disease target. Expert Review of Vaccines. 23(1). 336–348. 7 indexed citations
3.
Parray, Javid Ahmad, et al.. (2021). Emerging trends for Harnessing plant metabolome and microbiome for sustainablefood Production. 1(1). 33–53. 8 indexed citations
4.
Wang, Zekun, Songyang Ren, Qiming Li, et al.. (2021). Hantaviruses use the endogenous host factor P58IPK to combat the PKR antiviral response. PLoS Pathogens. 17(10). e1010007–e1010007. 8 indexed citations
5.
Jeeva, Subbiah, et al.. (2019). Crimean-Congo hemorrhagic fever virus nucleocapsid protein harbors distinct RNA-binding sites in the stalk and head domains. Journal of Biological Chemistry. 294(13). 5023–5037. 15 indexed citations
6.
Jeeva, Subbiah, et al.. (2017). Crimean-Congo hemorrhagic fever virus nucleocapsid protein has dual RNA binding modes. PLoS ONE. 12(9). e0184935–e0184935. 17 indexed citations
7.
Roy, Anuradha & Mohammad A. Mir. (2017). Development of High-Throughput Screening Assay for Antihantaviral Therapeutics. SLAS DISCOVERY. 22(6). 767–774. 5 indexed citations
8.
Salim, Nilshad, Safder S. Ganaie, Anuradha Roy, Subbiah Jeeva, & Mohammad A. Mir. (2016). Targeting a Novel RNA-Protein Interaction for Therapeutic Intervention of Hantavirus Disease. Journal of Biological Chemistry. 291(47). 24702–24714. 17 indexed citations
9.
Dani, Melanie, et al.. (2014). Artificial feeding in patients with advanced dementia. British Journal of Hospital Medicine. 75(Sup1). C2–C4.
10.
Ganaie, Safder S. & Mohammad A. Mir. (2014). The role of viral genomic RNA and nucleocapsid protein in the autophagic clearance of hantavirus glycoprotein Gn. Virus Research. 187. 72–76. 20 indexed citations
11.
Hussein, Islam T. M., Abdul Haseeb, Absarul Haque, & Mohammad A. Mir. (2011). Recent Advances in Hantavirus Molecular Biology and Disease. Advances in applied microbiology. 74. 35–75. 21 indexed citations
12.
Cheng, E.Chung-Chin, et al.. (2011). Characterization of the Interaction between Hantavirus Nucleocapsid Protein (N) and Ribosomal Protein S19 (RPS19). Journal of Biological Chemistry. 286(13). 11814–11824. 36 indexed citations
13.
Mir, Mohammad A.. (2010). Hantaviruses. Clinics in Laboratory Medicine. 30(1). 67–91. 33 indexed citations
14.
Mir, Mohammad A., et al.. (2010). Hantavirus Nucleocapsid Protein Has Distinct m7G Cap- and RNA-binding Sites. Journal of Biological Chemistry. 285(15). 11357–11368. 44 indexed citations
15.
Mir, Mohammad A., et al.. (2008). Storage of cellular 5′ mRNA caps in P bodies for viral cap-snatching. Proceedings of the National Academy of Sciences. 105(49). 19294–19299. 108 indexed citations
16.
Mir, Mohammad A. & Antonito T. Panganiban. (2008). A protein that replaces the entire cellular eIF4F complex. The EMBO Journal. 27(23). 3129–3139. 91 indexed citations
17.
Mir, Mohammad A. & Antonito T. Panganiban. (2006). The bunyavirus nucleocapsid protein is an RNA chaperone: Possible roles in viral RNA panhandle formation and genome replication. RNA. 12(2). 272–282. 57 indexed citations
18.
Mir, Mohammad A., Suman Das, & Dipak Dasgupta. (2004). N-terminal tail domains of core histones in nucleosome block the access of anticancer drugs, mithramycin and daunomycin, to the nucleosomal DNA. Biophysical Chemistry. 109(1). 121–135. 12 indexed citations
19.
Mir, Mohammad A., et al.. (2001). Differential interactions of antitumor antibiotics chromomycin A3 and mithramycin with d(TATGCATA)2 in presence of Mg2+. Biopolymers. 62(3). 131–140. 8 indexed citations
20.
Mir, Mohammad A. & Dipak Dasgupta. (2001). Interaction of Antitumor Drug, Mithramycin, with Chromatin. Biochemical and Biophysical Research Communications. 280(1). 68–74. 24 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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