Tejas Subramanian

102 total papers · 559 total citations
57 papers, 264 citations indexed

About

Tejas Subramanian is a scholar working on Surgery, Pathology and Forensic Medicine and Pharmacology. According to data from OpenAlex, Tejas Subramanian has authored 57 papers receiving a total of 264 indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Surgery, 41 papers in Pathology and Forensic Medicine and 17 papers in Pharmacology. Recurrent topics in Tejas Subramanian's work include Spine and Intervertebral Disc Pathology (41 papers), Spinal Fractures and Fixation Techniques (27 papers) and Musculoskeletal pain and rehabilitation (17 papers). Tejas Subramanian is often cited by papers focused on Spine and Intervertebral Disc Pathology (41 papers), Spinal Fractures and Fixation Techniques (27 papers) and Musculoskeletal pain and rehabilitation (17 papers). Tejas Subramanian collaborates with scholars based in United States, Japan and China. Tejas Subramanian's co-authors include Sheeraz A. Qureshi, Sravisht Iyer, Kasra Araghi, Pratyush Shahi, James Dowdell, Evan Sheha, Omri Maayan, Tomoyuki Asada, Troy B. Amen and Junho Song and has published in prestigious journals such as Journal of Bone and Joint Surgery, Spine and The Laryngoscope.

In The Last Decade

Tejas Subramanian

38 papers receiving 260 citations

Author Peers

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

Author Last Decade Papers Cites
Tejas Subramanian 184 176 76 49 28 57 264
Omri Maayan 150 0.8× 137 0.8× 52 0.7× 35 0.7× 18 0.6× 44 196
Daniel Shinn 224 1.2× 228 1.3× 102 1.3× 56 1.1× 6 0.2× 24 276
Ian J. Wellington 163 0.9× 42 0.2× 13 0.2× 35 0.7× 23 0.8× 53 241
Pramod Kamalapathy 158 0.9× 44 0.3× 28 0.4× 24 0.5× 18 0.6× 49 317
Tomoyuki Asada 220 1.2× 149 0.8× 50 0.7× 44 0.9× 5 0.2× 78 261
Heath P. Gould 151 0.8× 46 0.3× 49 0.6× 27 0.6× 8 0.3× 44 246
Gregory D. Lopez 227 1.2× 132 0.8× 52 0.7× 55 1.1× 17 0.6× 40 287
Vidushan Nadarajah 203 1.1× 24 0.1× 50 0.7× 8 0.2× 32 1.1× 34 299
Daniel Franco 114 0.6× 83 0.5× 29 0.4× 22 0.4× 7 0.3× 36 196
Akiro H. Duey 101 0.5× 36 0.2× 9 0.1× 38 0.8× 21 0.8× 38 243

Countries citing papers authored by Tejas Subramanian

Since Specialization
Citations

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

Fields of papers citing papers by Tejas Subramanian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tejas Subramanian

This figure shows the co-authorship network connecting the top 25 collaborators of Tejas Subramanian. A scholar is included among the top collaborators of Tejas Subramanian 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 Tejas Subramanian. Tejas Subramanian 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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2026