Mkb Parmar

13 total papers · 997 total citations
8 papers, 695 citations indexed

About

Mkb Parmar is a scholar working on Statistics and Probability, Pulmonary and Respiratory Medicine and Statistics, Probability and Uncertainty. According to data from OpenAlex, Mkb Parmar has authored 8 papers receiving a total of 695 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Statistics and Probability, 2 papers in Pulmonary and Respiratory Medicine and 2 papers in Statistics, Probability and Uncertainty. Recurrent topics in Mkb Parmar's work include Statistical Methods in Clinical Trials (4 papers), Meta-analysis and systematic reviews (2 papers) and Inflammatory mediators and NSAID effects (1 paper). Mkb Parmar is often cited by papers focused on Statistical Methods in Clinical Trials (4 papers), Meta-analysis and systematic reviews (2 papers) and Inflammatory mediators and NSAID effects (1 paper). Mkb Parmar collaborates with scholars based in United Kingdom, India and Slovenia. Mkb Parmar's co-authors include Sarah Burdett, R L Souhami, Steven Piantadosi, R. Arriagada, Kovač, RJ Stephens, Paul Van Houtte, Bertrand Dautzenberg, Valter Torri and M Debevec and has published in prestigious journals such as The Lancet, Cancer Research and British Journal of Cancer.

In The Last Decade

Mkb Parmar

8 papers receiving 669 citations

Hit Papers

Postoperative radiotherap... 1998 2026 2007 2016 1998 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Mkb Parmar 553 213 158 108 91 8 695
Kovač 544 1.0× 200 0.9× 158 1.0× 57 0.5× 91 1.0× 7 614
M Debevec 633 1.1× 235 1.1× 181 1.1× 58 0.5× 114 1.3× 6 692
Eric E. K. Yeoh 541 1.0× 138 0.6× 169 1.1× 161 1.5× 348 3.8× 13 717
Rochelle J. Botten 518 0.9× 178 0.8× 172 1.1× 244 2.3× 345 3.8× 19 762
John J. Haluschak 658 1.2× 282 1.3× 70 0.4× 119 1.1× 77 0.8× 8 758
Steve Leibel 535 1.0× 95 0.4× 179 1.1× 93 0.9× 286 3.1× 10 699
E Robinson 354 0.6× 227 1.1× 279 1.8× 125 1.2× 161 1.8× 13 690
Måns Agrup 576 1.0× 104 0.5× 190 1.2× 82 0.8× 419 4.6× 14 749
Thomas P. Carlson 483 0.9× 143 0.7× 82 0.5× 203 1.9× 288 3.2× 8 660
Jacqueline E. Livsey 328 0.6× 85 0.4× 149 0.9× 262 2.4× 308 3.4× 17 789

Countries citing papers authored by Mkb Parmar

Since Specialization
Citations

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

Fields of papers citing papers by Mkb Parmar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mkb Parmar

This figure shows the co-authorship network connecting the top 25 collaborators of Mkb Parmar. A scholar is included among the top collaborators of Mkb Parmar 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 Mkb Parmar. Mkb Parmar 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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