Mukul Mukherjee

91 total papers · 1.1k total citations
59 papers, 831 citations indexed

About

Mukul Mukherjee is a scholar working on Physical Therapy, Sports Therapy and Rehabilitation, Biomedical Engineering and Cognitive Neuroscience. According to data from OpenAlex, Mukul Mukherjee has authored 59 papers receiving a total of 831 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Physical Therapy, Sports Therapy and Rehabilitation, 26 papers in Biomedical Engineering and 20 papers in Cognitive Neuroscience. Recurrent topics in Mukul Mukherjee's work include Balance, Gait, and Falls Prevention (28 papers), Motor Control and Adaptation (14 papers) and Muscle activation and electromyography studies (13 papers). Mukul Mukherjee is often cited by papers focused on Balance, Gait, and Falls Prevention (28 papers), Motor Control and Adaptation (14 papers) and Muscle activation and electromyography studies (13 papers). Mukul Mukherjee collaborates with scholars based in United States, Spain and Germany. Mukul Mukherjee's co-authors include Nicholas Stergiou, Jung Hung Chien, Ka‐Chun Siu, Dmitry Oleynikov, Irene H. Suh, Denise McGrath, Dimitrios Katsavelis, Leslie M. Decker, Sara A. Myers and Srikant Vallabhajosula and has published in prestigious journals such as Scientific Reports, Journal of Biomechanics and Experimental Brain Research.

In The Last Decade

Mukul Mukherjee

55 papers receiving 809 citations

Author Peers

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

Author Last Decade Papers Cites
Mukul Mukherjee 296 254 188 170 144 59 831
Daisuke Sato 131 0.4× 250 1.0× 262 1.4× 141 0.8× 132 0.9× 81 1.0k
Thibault Deschamps 352 1.2× 169 0.7× 244 1.3× 65 0.4× 195 1.4× 67 1.0k
R.J. Jaeger 242 0.8× 606 2.4× 212 1.1× 186 1.1× 197 1.4× 27 1000
Benedikt Lauber 137 0.5× 291 1.1× 195 1.0× 78 0.5× 415 2.9× 39 879
Anett Mau‐Moeller 96 0.3× 323 1.3× 144 0.8× 165 1.0× 328 2.3× 45 971
Rogério Pessoto Hirata 147 0.5× 325 1.3× 78 0.4× 183 1.1× 322 2.2× 79 1.0k
BumChul Yoon 155 0.5× 141 0.6× 126 0.7× 129 0.8× 125 0.9× 68 898
Ing‐Shiou Hwang 195 0.7× 320 1.3× 301 1.6× 40 0.2× 114 0.8× 71 803
Oonagh M. Giggins 145 0.5× 281 1.1× 101 0.5× 102 0.6× 106 0.7× 28 780
Manuel E. Hernandez 362 1.2× 223 0.9× 162 0.9× 41 0.2× 124 0.9× 91 1.0k

Countries citing papers authored by Mukul Mukherjee

Since Specialization
Citations

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

Fields of papers citing papers by Mukul Mukherjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mukul Mukherjee

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