Mohammad Sarwar Jamal

60 total papers · 1.6k total citations
37 papers, 987 citations indexed

About

Mohammad Sarwar Jamal is a scholar working on Molecular Biology, Oncology and Epidemiology. According to data from OpenAlex, Mohammad Sarwar Jamal has authored 37 papers receiving a total of 987 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 5 papers in Oncology and 5 papers in Epidemiology. Recurrent topics in Mohammad Sarwar Jamal's work include vaccines and immunoinformatics approaches (3 papers), Estrogen and related hormone effects (3 papers) and Bioinformatics and Genomic Networks (3 papers). Mohammad Sarwar Jamal is often cited by papers focused on vaccines and immunoinformatics approaches (3 papers), Estrogen and related hormone effects (3 papers) and Bioinformatics and Genomic Networks (3 papers). Mohammad Sarwar Jamal collaborates with scholars based in Saudi Arabia, India and Pakistan. Mohammad Sarwar Jamal's co-authors include Mahmood Rasool, Hani Choudhry, Ajit Kumar Verma, Bilal Bin Hafeez, Mazin A. Zamzami, Peter Natesan Pushparaj, Mohd Rehan, Ashraf Ali, Mohammad Azhar Kamal and Mohiuddin Khan Warsi and has published in prestigious journals such as PLoS ONE, Cancer Research and Scientific Reports.

In The Last Decade

Mohammad Sarwar Jamal

37 papers receiving 974 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Mohammad Sarwar Jamal 464 203 136 130 92 37 987
Chunliu Mi 681 1.5× 156 0.8× 204 1.5× 108 0.8× 65 0.7× 41 1.1k
A‐Mei Huang 732 1.6× 231 1.1× 193 1.4× 121 0.9× 51 0.6× 51 1.2k
Fatemeh Karami‐Tehrani 645 1.4× 205 1.0× 151 1.1× 153 1.2× 73 0.8× 27 1.0k
Charles K. Grieshaber 488 1.1× 239 1.2× 124 0.9× 88 0.7× 50 0.5× 44 1.0k
Li Lai 714 1.5× 217 1.1× 209 1.5× 98 0.8× 98 1.1× 43 1.2k
Cynthia Cunningham 368 0.8× 189 0.9× 129 0.9× 84 0.6× 31 0.3× 27 918
Akhilesh Singh 453 1.0× 188 0.9× 133 1.0× 120 0.9× 22 0.2× 45 1.0k
Takamitsu Morioka 357 0.8× 120 0.6× 144 1.1× 77 0.6× 49 0.5× 51 922
Raghavendra Gowda 689 1.5× 245 1.2× 209 1.5× 164 1.3× 78 0.8× 37 1.2k
Szu‐Ting Lin 474 1.0× 191 0.9× 110 0.8× 43 0.3× 70 0.8× 38 950

Countries citing papers authored by Mohammad Sarwar Jamal

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Sarwar Jamal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammad Sarwar Jamal

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Sarwar Jamal. A scholar is included among the top collaborators of Mohammad Sarwar Jamal 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 Sarwar Jamal. Mohammad Sarwar Jamal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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