Govindsinh Chavada

16 total papers · 1.1k total citations
6 papers, 177 citations indexed

About

Govindsinh Chavada is a scholar working on Neurology, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Govindsinh Chavada has authored 6 papers receiving a total of 177 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Neurology, 4 papers in Cellular and Molecular Neuroscience and 1 paper in Molecular Biology. Recurrent topics in Govindsinh Chavada's work include Hereditary Neurological Disorders (4 papers), Peripheral Neuropathies and Disorders (4 papers) and Systemic Lupus Erythematosus Research (1 paper). Govindsinh Chavada is often cited by papers focused on Hereditary Neurological Disorders (4 papers), Peripheral Neuropathies and Disorders (4 papers) and Systemic Lupus Erythematosus Research (1 paper). Govindsinh Chavada collaborates with scholars based in United Kingdom, Germany and Japan. Govindsinh Chavada's co-authors include Yusuf A. Rajabally, Bianca van den Berg, David R. Cornblath, Susumu Kusunoki, Thomas Harbo, Richard AC Hughes, Kenneth C. Gorson, Pieter A. van Doorn, Hugh J. Willison and Hans‐Peter Hartung and has published in prestigious journals such as Journal of Neurology Neurosurgery & Psychiatry, Muscle & Nerve and Journal of the Peripheral Nervous System.

In The Last Decade

Govindsinh Chavada

6 papers receiving 171 citations

Author Peers

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

Author						Papers	Cites
Govindsinh Chavada	163	119	46	12	10	6	177
Kristbjörg Sveinsdóttir	69 0.4×	74 0.6×	31 0.7×	15 1.3×	10 1.0×	9	262
Thomas H. P. Draak	92 0.6×	63 0.5×	40 0.9×	14 1.2×	7 0.7×	6	161
Delmar S. M. Molenaar	180 1.1×	148 1.2×	75 1.6×	5 0.4×	30 3.0×	5	204
Lisbeth Lassen	121 0.7×	87 0.7×	26 0.6×	4 0.3×	6 0.6×	4	142
A. Fenske	125 0.8×	66 0.6×	32 0.7×	19 1.6×	17 1.7×	10	228
Mark Busby	67 0.4×	109 0.9×	26 0.6×	20 1.7×	15 1.5×	6	226
Angelo Maurizio Clerici	125 0.8×	73 0.6×	32 0.7×	3 0.3×	20 2.0×	11	142
Gwendolyn Claussen	174 1.1×	56 0.5×	18 0.4×	25 2.1×	5 0.5×	9	196
Anne‐Evelyne Vallet	150 0.9×	81 0.7×	14 0.3×	22 1.8×	14 1.4×	7	224
Sonja I. van Nes	123 0.8×	93 0.8×	38 0.8×	7 0.6×	51 5.1×	5	241

Countries citing papers authored by Govindsinh Chavada

Since Specialization

Citations

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

Fields of papers citing papers by Govindsinh Chavada

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Govindsinh Chavada

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