Sorabh Sharma

64 total papers · 1.4k total citations
34 papers, 896 citations indexed

About

Sorabh Sharma is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Sorabh Sharma has authored 34 papers receiving a total of 896 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 8 papers in Cellular and Molecular Neuroscience and 8 papers in Physiology. Recurrent topics in Sorabh Sharma's work include Histone Deacetylase Inhibitors Research (8 papers), Alzheimer's disease research and treatments (5 papers) and Nuclear Receptors and Signaling (4 papers). Sorabh Sharma is often cited by papers focused on Histone Deacetylase Inhibitors Research (8 papers), Alzheimer's disease research and treatments (5 papers) and Nuclear Receptors and Signaling (4 papers). Sorabh Sharma collaborates with scholars based in India, Canada and United States. Sorabh Sharma's co-authors include Rajeev Taliyan, Rahul Deshmukh, Kushal Kumar, Puneet Kumar, Pyare Lal Sharma, Craig E. Brown, Ashok Kumar, Divya Midha, Kanu S. Goyal and Vishal Jindal and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Biochemical and Biophysical Research Communications.

In The Last Decade

Sorabh Sharma

30 papers receiving 884 citations

Author Peers

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

Author						Papers	Cites
Sorabh Sharma	459	214	188	131	107	34	896
Nurgül Aytan	372 0.8×	264 1.2×	137 0.7×	147 1.1×	185 1.7×	30	1.0k
Paola Da Pozzo	534 1.2×	189 0.9×	176 0.9×	111 0.8×	78 0.7×	27	917
Claire Lafay‐Chebassier	382 0.8×	282 1.3×	209 1.1×	64 0.5×	124 1.2×	38	918
Hsing-Cheng Liu	217 0.5×	313 1.5×	159 0.8×	102 0.8×	83 0.8×	23	919
Michał Prendecki	355 0.8×	305 1.4×	118 0.6×	152 1.2×	152 1.4×	27	925
Giulia Ferrari‐Toninelli	388 0.8×	178 0.8×	183 1.0×	147 1.1×	106 1.0×	30	878
Christian Klein	390 0.8×	197 0.9×	209 1.1×	117 0.9×	80 0.7×	44	923
Chi Zhao-fu	441 1.0×	200 0.9×	273 1.5×	53 0.4×	98 0.9×	45	945
Zejian Wang	420 0.9×	193 0.9×	125 0.7×	44 0.3×	91 0.9×	45	944
Fabrício Simão	337 0.7×	263 1.2×	191 1.0×	82 0.6×	241 2.3×	30	1.0k

Countries citing papers authored by Sorabh Sharma

Since Specialization

Citations

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

Fields of papers citing papers by Sorabh Sharma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sorabh Sharma

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