Ratnakar Pingili

21 total papers · 942 total citations
15 papers, 187 citations indexed

About

Ratnakar Pingili is a scholar working on Pathology and Forensic Medicine, Public Health, Environmental and Occupational Health and Neurology. According to data from OpenAlex, Ratnakar Pingili has authored 15 papers receiving a total of 187 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Pathology and Forensic Medicine, 4 papers in Public Health, Environmental and Occupational Health and 3 papers in Neurology. Recurrent topics in Ratnakar Pingili's work include Multiple Sclerosis Research Studies (10 papers), Pregnancy and Medication Impact (3 papers) and Rheumatoid Arthritis Research and Therapies (3 papers). Ratnakar Pingili is often cited by papers focused on Multiple Sclerosis Research Studies (10 papers), Pregnancy and Medication Impact (3 papers) and Rheumatoid Arthritis Research and Therapies (3 papers). Ratnakar Pingili collaborates with scholars based in United States, Switzerland and Germany. Ratnakar Pingili's co-authors include Dieter A. Häring, Roman Willi, Wendy Su, Bernd C. Kieseier, Prakash Krishnan, Anne H. Cross, Ludwig Kappos, Ayan Das Gupta, Stephen L. Hauser and Xavier Montalbán and has published in prestigious journals such as Neurology, Multiple Sclerosis Journal and International Journal of Gynecology & Obstetrics.

In The Last Decade

Ratnakar Pingili

13 papers receiving 186 citations

Author Peers

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

Author						Papers	Cites
Ratnakar Pingili	152	74	72	38	26	15	187
Ai‐Lan Nguyen	107 0.7×	36 0.5×	59 0.8×	27 0.7×	12 0.5×	17	158
Ivana Kovářová	158 1.0×	46 0.6×	61 0.8×	80 2.1×	9 0.3×	12	249
Marcos Papais Alvarenga	160 1.1×	72 1.0×	42 0.6×	51 1.3×	8 0.3×	14	195
Stefania Federica De Mercanti	136 0.9×	42 0.6×	52 0.7×	89 2.3×	7 0.3×	14	201
Malin Ryner	124 0.8×	40 0.5×	103 1.4×	54 1.4×	82 3.2×	11	245
Omri Zveik	174 1.1×	78 1.1×	87 1.2×	32 0.8×	8 0.3×	22	259
Beatriz Chamorro	127 0.8×	34 0.5×	90 1.3×	40 1.1×	8 0.3×	15	246
Erica Eggers	108 0.7×	34 0.5×	120 1.7×	38 1.0×	16 0.6×	15	241
Elżbieta Jasińska	107 0.7×	37 0.5×	21 0.3×	49 1.3×	5 0.2×	12	177
Brian Steingo	120 0.8×	62 0.8×	27 0.4×	39 1.0×	4 0.2×	12	161

Countries citing papers authored by Ratnakar Pingili

Since Specialization

Citations

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

Fields of papers citing papers by Ratnakar Pingili

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ratnakar Pingili

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