Lajpat Rai

57 total papers · 1.6k total citations
21 papers, 351 citations indexed

About

Lajpat Rai is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Pathology and Forensic Medicine. According to data from OpenAlex, Lajpat Rai has authored 21 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Surgery, 8 papers in Cardiology and Cardiovascular Medicine and 3 papers in Pathology and Forensic Medicine. Recurrent topics in Lajpat Rai's work include Coronary Interventions and Diagnostics (4 papers), Acute Myocardial Infarction Research (4 papers) and Atrial Fibrillation Management and Outcomes (2 papers). Lajpat Rai is often cited by papers focused on Coronary Interventions and Diagnostics (4 papers), Acute Myocardial Infarction Research (4 papers) and Atrial Fibrillation Management and Outcomes (2 papers). Lajpat Rai collaborates with scholars based in Pakistan, United States and India. Lajpat Rai's co-authors include R. C. Sawhney, Rajendra Prasad, Rajesh Kumar, Karan Pal, Harinath Kasiganesan, Sameer Dani, Gupta Sk, W. Selvamurthy, Ramesh Arora and Navin C. Nanda and has published in prestigious journals such as The Journal of Alternative and Complementary Medicine, Journal of Interventional Cardiology and Indian Journal of Gastroenterology.

In The Last Decade

Lajpat Rai

17 papers receiving 310 citations

Author Peers

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

Author						Papers	Cites
Lajpat Rai	160	106	56	49	40	21	351
N Krishnamurthy	155 1.0×	94 0.9×	57 1.0×	62 1.3×	21 0.5×	29	386
Apar Avinash Saoji	155 1.0×	59 0.6×	52 0.9×	49 1.0×	31 0.8×	33	322
Patricia A. Arns	116 0.7×	64 0.6×	30 0.5×	35 0.7×	38 0.9×	10	339
Daniel König	96 0.6×	125 1.2×	27 0.5×	94 1.9×	40 1.0×	33	389
Michael P. Berry	119 0.7×	40 0.4×	68 1.2×	27 0.6×	27 0.7×	33	381
Nasim Kanji	106 0.7×	61 0.6×	20 0.4×	31 0.6×	47 1.2×	9	299
Anita Wisén	61 0.4×	76 0.7×	89 1.6×	92 1.9×	25 0.6×	20	374
Ajándék Eőry	130 0.8×	48 0.5×	22 0.4×	13 0.3×	45 1.1×	30	365
J. Tsao	69 0.4×	73 0.7×	50 0.9×	24 0.5×	25 0.6×	24	367
Virginia S. Cowen	115 0.7×	37 0.3×	38 0.7×	99 2.0×	28 0.7×	12	347

Countries citing papers authored by Lajpat Rai

Since Specialization

Citations

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

Fields of papers citing papers by Lajpat Rai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lajpat Rai

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