Sonika Dahiya

376 total papers · 8.7k total citations
141 papers, 4.2k citations indexed

About

Sonika Dahiya is a scholar working on Genetics, Molecular Biology and Neurology. According to data from OpenAlex, Sonika Dahiya has authored 141 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Genetics, 38 papers in Molecular Biology and 38 papers in Neurology. Recurrent topics in Sonika Dahiya's work include Glioma Diagnosis and Treatment (62 papers), Neurofibromatosis and Schwannoma Cases (30 papers) and Meningioma and schwannoma management (21 papers). Sonika Dahiya is often cited by papers focused on Glioma Diagnosis and Treatment (62 papers), Neurofibromatosis and Schwannoma Cases (30 papers) and Meningioma and schwannoma management (21 papers). Sonika Dahiya collaborates with scholars based in United States, India and Canada. Sonika Dahiya's co-authors include Dennis C. Sgroi, David H. Gutmann, Xiaojun Ma, Mark G. Erlander, Elizabeth Richardson, Arie Perry, Jeffrey R. Leonard, Erin Carney, George Ansstas and Robert E. Schmidt and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Sonika Dahiya

133 papers receiving 4.1k citations

Hit Papers

Gene expression profiling... 2009 2026 2014 2020 2009 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Sonika Dahiya 1.6k 1.2k 957 948 830 141 4.2k
Keishi Makino 1.5k 0.9× 1.4k 1.2× 1.0k 1.1× 582 0.6× 607 0.7× 95 4.2k
Hannu Haapasalo 2.4k 1.5× 1.1k 0.9× 854 0.9× 752 0.8× 745 0.9× 131 4.9k
Sieger Leenstra 1.9k 1.2× 1.9k 1.6× 1.1k 1.1× 903 1.0× 533 0.6× 112 5.1k
J Hassoun 1.4k 0.8× 1.2k 1.0× 967 1.0× 489 0.5× 706 0.9× 173 3.9k
Janet M. Bruner 1.3k 0.8× 1.7k 1.5× 759 0.8× 610 0.6× 898 1.1× 97 4.2k
Nils Ole Schmidt 1.6k 1.0× 1.1k 0.9× 686 0.7× 491 0.5× 709 0.9× 132 3.7k
Akio Asai 2.3k 1.4× 903 0.8× 902 0.9× 468 0.5× 570 0.7× 145 4.6k
Akitake Mukasa 2.3k 1.4× 1.9k 1.6× 882 0.9× 1.4k 1.4× 706 0.9× 177 5.2k
L’Houcine Ouafik 2.0k 1.2× 987 0.8× 1.4k 1.4× 813 0.9× 337 0.4× 179 5.0k
Juan A. Rey 2.1k 1.3× 1.4k 1.2× 662 0.7× 883 0.9× 1.1k 1.3× 171 3.9k

Countries citing papers authored by Sonika Dahiya

Since Specialization
Citations

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

Fields of papers citing papers by Sonika Dahiya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sonika Dahiya

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