Sailesh V. Tummala

103 total papers · 920 total citations
67 papers, 505 citations indexed

About

Sailesh V. Tummala is a scholar working on Surgery, Orthopedics and Sports Medicine and Epidemiology. According to data from OpenAlex, Sailesh V. Tummala has authored 67 papers receiving a total of 505 indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Surgery, 42 papers in Orthopedics and Sports Medicine and 11 papers in Epidemiology. Recurrent topics in Sailesh V. Tummala's work include Sports injuries and prevention (39 papers), Shoulder Injury and Treatment (24 papers) and Knee injuries and reconstruction techniques (22 papers). Sailesh V. Tummala is often cited by papers focused on Sports injuries and prevention (39 papers), Shoulder Injury and Treatment (24 papers) and Knee injuries and reconstruction techniques (22 papers). Sailesh V. Tummala collaborates with scholars based in United States and Poland. Sailesh V. Tummala's co-authors include Anikar Chhabra, Justin L. Makovicka, Karan A. Patel, David E. Hartigan, Joseph C. Brinkman, David G. Deckey, Jeffrey D. Hassebrock, Kostas J. Economopoulos, Andrew S. Chung and Kade S. McQuivey and has published in prestigious journals such as Journal of Bone and Joint Surgery, Spine and The American Journal of Sports Medicine.

In The Last Decade

Sailesh V. Tummala

57 papers receiving 492 citations

Author Peers

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

Author Last Decade Papers Cites
Sailesh V. Tummala 333 330 57 57 46 67 505
Jeffrey D. Hassebrock 172 0.5× 470 1.4× 124 2.2× 43 0.8× 64 1.4× 63 611
Lafi S. Khalil 219 0.7× 478 1.4× 67 1.2× 31 0.5× 73 1.6× 54 598
J. Benjamin Jackson 201 0.6× 301 0.9× 56 1.0× 63 1.1× 76 1.7× 70 557
Joseph C. Brinkman 133 0.4× 362 1.1× 80 1.4× 37 0.6× 54 1.2× 92 564
Elizabeth C. Gardner 190 0.6× 282 0.9× 101 1.8× 43 0.8× 72 1.6× 33 467
Stephen A. Albanese 122 0.4× 346 1.0× 72 1.3× 93 1.6× 91 2.0× 41 614
Thierry Pauyo 164 0.5× 395 1.2× 90 1.6× 68 1.2× 59 1.3× 33 536
Sachin Allahabadi 197 0.6× 409 1.2× 107 1.9× 99 1.7× 39 0.8× 97 595
Alexander Beletsky 99 0.3× 469 1.4× 168 2.9× 24 0.4× 41 0.9× 57 561
Ida Leah Gitajn 130 0.4× 352 1.1× 147 2.6× 78 1.4× 35 0.8× 62 498

Countries citing papers authored by Sailesh V. Tummala

Since Specialization
Citations

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

Fields of papers citing papers by Sailesh V. Tummala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sailesh V. Tummala. 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 Sailesh V. Tummala. The network helps show where Sailesh V. Tummala may publish in the future.

Co-authorship network of co-authors of Sailesh V. Tummala

This figure shows the co-authorship network connecting the top 25 collaborators of Sailesh V. Tummala. A scholar is included among the top collaborators of Sailesh V. Tummala 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 Sailesh V. Tummala. Sailesh V. Tummala 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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