Sahil Tonk

12 total papers · 520 total citations
8 papers, 400 citations indexed

About

Sahil Tonk is a scholar working on Molecular Biology, Physiology and Cancer Research. According to data from OpenAlex, Sahil Tonk has authored 8 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Physiology and 3 papers in Cancer Research. Recurrent topics in Sahil Tonk's work include Alzheimer's disease research and treatments (3 papers), Nuclear Receptors and Signaling (2 papers) and Acute Lymphoblastic Leukemia research (2 papers). Sahil Tonk is often cited by papers focused on Alzheimer's disease research and treatments (3 papers), Nuclear Receptors and Signaling (2 papers) and Acute Lymphoblastic Leukemia research (2 papers). Sahil Tonk collaborates with scholars based in United States and Egypt. Sahil Tonk's co-authors include Subodh Kumar, P. Hemachandra Reddy, Murali Vijayan, Chandra Sekhar Kuruva, Ramesh Kandimalla, Arubala P. Reddy, Maria Mańczak, Jangampalli Adi Pradeepkiran, Rui Wang and Jasvinder Singh Bhatti and has published in prestigious journals such as Cancer Research, Biochemical and Biophysical Research Communications and Ageing Research Reviews.

In The Last Decade

Sahil Tonk

7 papers receiving 391 citations

Author Peers

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

Author Last Decade Papers Cites
Sahil Tonk 210 154 81 66 65 8 400
Sohee Phark 116 0.6× 103 0.7× 75 0.9× 46 0.7× 53 0.8× 11 358
Hongcan Zhu 86 0.4× 161 1.0× 54 0.7× 49 0.7× 49 0.8× 14 395
Yu Li 104 0.5× 147 1.0× 43 0.5× 47 0.7× 43 0.7× 15 387
Elodie Passeri 133 0.6× 134 0.9× 23 0.3× 20 0.3× 68 1.0× 9 419
Hossein Bagheri 85 0.4× 144 0.9× 155 1.9× 17 0.3× 39 0.6× 11 431
Shiva Ebrahimpour 99 0.5× 117 0.8× 36 0.4× 37 0.6× 21 0.3× 10 374
Jie‐Jian Kou 80 0.4× 171 1.1× 29 0.4× 24 0.4× 52 0.8× 14 409
Aline Matté 128 0.6× 122 0.8× 31 0.4× 18 0.3× 31 0.5× 7 399
Hyo-Shin Kim 186 0.9× 104 0.7× 81 1.0× 17 0.3× 105 1.6× 7 404
Jun-Zhuo Shi 91 0.4× 121 0.8× 20 0.2× 21 0.3× 48 0.7× 15 336

Countries citing papers authored by Sahil Tonk

Since Specialization
Citations

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

Fields of papers citing papers by Sahil Tonk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sahil Tonk

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