Surendra Ghaskadbi

84 total papers · 943 total citations
68 papers, 696 citations indexed

About

Surendra Ghaskadbi is a scholar working on Molecular Biology, Paleontology and Cell Biology. According to data from OpenAlex, Surendra Ghaskadbi has authored 68 papers receiving a total of 696 indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Molecular Biology, 26 papers in Paleontology and 17 papers in Cell Biology. Recurrent topics in Surendra Ghaskadbi's work include Marine Invertebrate Physiology and Ecology (25 papers), Planarian Biology and Electrostimulation (10 papers) and Animal Genetics and Reproduction (8 papers). Surendra Ghaskadbi is often cited by papers focused on Marine Invertebrate Physiology and Ecology (25 papers), Planarian Biology and Electrostimulation (10 papers) and Animal Genetics and Reproduction (8 papers). Surendra Ghaskadbi collaborates with scholars based in India, Saudi Arabia and Japan. Surendra Ghaskadbi's co-authors include Anandwardhan A. Hardikar, Smruti M. Phadnis, Ramesh Bhonde, Mohammed Zeeshan, Mohammad Abdulkader Akbarsha, V. G. Vaidya, A.M. Mujumdar, Saroj Ghaskadbi, Mugdha V. Joglekar and Prabha D. Nair and has published in prestigious journals such as PLoS ONE, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Surendra Ghaskadbi

65 papers receiving 676 citations

Author Peers

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

Author						Papers	Cites
Surendra Ghaskadbi	328	153	120	103	72	68	696
Ward R. Richter	196 0.6×	136 0.9×	7 0.1×	45 0.4×	62 0.9×	42	755
Kyle L. Brown	374 1.1×	28 0.2×	38 0.3×	29 0.3×	110 1.5×	25	704
Weihua Zhang	129 0.4×	135 0.9×	17 0.1×	139 1.3×	25 0.3×	52	686
Pu Huang	215 0.7×	24 0.2×	16 0.1×	25 0.2×	30 0.4×	60	628
Takashi Makita	263 0.8×	35 0.2×	10 0.1×	12 0.1×	74 1.0×	109	639
Lucas R. Brun	386 1.2×	48 0.3×	14 0.1×	19 0.2×	31 0.4×	47	729
Arezoo Khoradmehr	151 0.5×	78 0.5×	6 0.1×	74 0.7×	22 0.3×	57	632
José Dias Corrêa	107 0.3×	39 0.3×	13 0.1×	57 0.6×	48 0.7×	38	715
Väinö K. Hopsu	355 1.1×	31 0.2×	8 0.1×	24 0.2×	44 0.6×	47	681
Masaki Kobayashi	270 0.8×	37 0.2×	4 0.0×	32 0.3×	30 0.4×	60	702

Countries citing papers authored by Surendra Ghaskadbi

Since Specialization

Citations

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

Fields of papers citing papers by Surendra Ghaskadbi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Surendra Ghaskadbi

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