Priyanka Gaur

69 total papers · 697 total citations
42 papers, 433 citations indexed

About

Priyanka Gaur is a scholar working on Epidemiology, Immunology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Priyanka Gaur has authored 42 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Epidemiology, 10 papers in Immunology and 9 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Priyanka Gaur's work include Chronic Obstructive Pulmonary Disease (COPD) Research (5 papers), Autoimmune and Inflammatory Disorders Research (4 papers) and Lung Cancer Treatments and Mutations (4 papers). Priyanka Gaur is often cited by papers focused on Chronic Obstructive Pulmonary Disease (COPD) Research (5 papers), Autoimmune and Inflammatory Disorders Research (4 papers) and Lung Cancer Treatments and Mutations (4 papers). Priyanka Gaur collaborates with scholars based in India, United States and Saudi Arabia. Priyanka Gaur's co-authors include Amita Aggarwal, Anuj Shukla, Surya Kant, Ramnath Misra, Anuj Shukla, R Naveen, Sandeep Bhattacharya, Vikas Agarwal, Rohit Aggarwal and Latika Gupta and has published in prestigious journals such as SHILAP Revista de lepidopterología, Obstetrics and Gynecology and BMC Public Health.

In The Last Decade

Priyanka Gaur

37 papers receiving 425 citations

Author Peers

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

Author						Papers	Cites
Priyanka Gaur	98	87	85	84	70	42	433
Loukas Kakoullis	64 0.7×	35 0.4×	84 1.0×	117 1.4×	36 0.5×	28	458
Changyin Wang	83 0.8×	44 0.5×	126 1.5×	44 0.5×	43 0.6×	45	475
Eleni Papachristodoulou	65 0.7×	34 0.4×	68 0.8×	93 1.1×	38 0.5×	18	397
R Golubjatnikov	26 0.3×	36 0.4×	180 2.1×	64 0.8×	87 1.2×	28	477
Cemalettin Aybay	76 0.8×	46 0.5×	124 1.5×	51 0.6×	109 1.6×	36	485
E N Barton	39 0.4×	48 0.6×	83 1.0×	96 1.1×	60 0.9×	61	463
Angela Di Martino	41 0.4×	51 0.6×	208 2.4×	168 2.0×	64 0.9×	21	406
Mariolina Bruno	61 0.6×	23 0.3×	167 2.0×	201 2.4×	162 2.3×	23	422
R. M. L. Mehrotra	45 0.5×	26 0.3×	103 1.2×	87 1.0×	34 0.5×	46	493
Sorin Claudiu Man	62 0.6×	17 0.2×	174 2.0×	38 0.5×	29 0.4×	46	414

Countries citing papers authored by Priyanka Gaur

Since Specialization

Citations

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

Fields of papers citing papers by Priyanka Gaur

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Priyanka Gaur

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