Srinivas Gullapalli

24 total papers · 517 total citations
19 papers, 415 citations indexed

About

Srinivas Gullapalli is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Srinivas Gullapalli has authored 19 papers receiving a total of 415 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 9 papers in Cellular and Molecular Neuroscience and 6 papers in Physiology. Recurrent topics in Srinivas Gullapalli's work include Pain Mechanisms and Treatments (6 papers), Neuroscience and Neuropharmacology Research (5 papers) and Phosphodiesterase function and regulation (5 papers). Srinivas Gullapalli is often cited by papers focused on Pain Mechanisms and Treatments (6 papers), Neuroscience and Neuropharmacology Research (5 papers) and Phosphodiesterase function and regulation (5 papers). Srinivas Gullapalli collaborates with scholars based in India, United States and Portugal. Srinivas Gullapalli's co-authors include Poduri Ramarao, Laxmikant A. Gharat, Shridhar Narayanan, Ivone Gomes, Achla Gupta, Lakshmi A. Devi, Francisco Cruz, Ana Charrua, Célia Duarte Cruz and António Avelino and has published in prestigious journals such as Cancer Research, Brain Research and Journal of Medicinal Chemistry.

In The Last Decade

Srinivas Gullapalli

19 papers receiving 399 citations

Author Peers

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

Author Last Decade Papers Cites
Srinivas Gullapalli 161 126 106 92 75 19 415
Kay A. Wardle 165 1.0× 166 1.3× 71 0.7× 93 1.0× 26 0.3× 14 368
Antonio Cilia 272 1.7× 175 1.4× 99 0.9× 49 0.5× 40 0.5× 26 458
Makoto Oka 151 0.9× 196 1.6× 87 0.8× 30 0.3× 27 0.4× 24 388
Jintao Zhang 144 0.9× 62 0.5× 20 0.2× 145 1.6× 23 0.3× 21 479
Fumikazu Wanibuchi 159 1.0× 180 1.4× 85 0.8× 117 1.3× 116 1.5× 16 443
AM Wilson 166 1.0× 120 1.0× 38 0.4× 70 0.8× 64 0.9× 27 446
L. L. Hsu 192 1.2× 185 1.5× 48 0.5× 49 0.5× 89 1.2× 16 444
Alexis Laux‐Biehlmann 120 0.7× 150 1.2× 26 0.2× 124 1.3× 32 0.4× 21 483
Dominique Françon 173 1.1× 232 1.8× 21 0.2× 73 0.8× 34 0.5× 16 480
Márta Thán 134 0.8× 235 1.9× 11 0.1× 230 2.5× 100 1.3× 14 490

Countries citing papers authored by Srinivas Gullapalli

Since Specialization
Citations

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

Fields of papers citing papers by Srinivas Gullapalli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Srinivas Gullapalli

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