Raj Palraj

32 total papers · 515 total citations
15 papers, 205 citations indexed

About

Raj Palraj is a scholar working on Infectious Diseases, Epidemiology and Clinical Biochemistry. According to data from OpenAlex, Raj Palraj has authored 15 papers receiving a total of 205 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Infectious Diseases, 8 papers in Epidemiology and 7 papers in Clinical Biochemistry. Recurrent topics in Raj Palraj's work include Antimicrobial Resistance in Staphylococcus (10 papers), Infective Endocarditis Diagnosis and Management (7 papers) and Bacterial Identification and Susceptibility Testing (7 papers). Raj Palraj is often cited by papers focused on Antimicrobial Resistance in Staphylococcus (10 papers), Infective Endocarditis Diagnosis and Management (7 papers) and Bacterial Identification and Susceptibility Testing (7 papers). Raj Palraj collaborates with scholars based in United States, United Kingdom and Saudi Arabia. Raj Palraj's co-authors include Larry M. Baddour, M. Rizwan Sohail, Indumathi Venkatachalam, James S. Molton, Khawaja M. Talha, Brian D. Lahr, Daniel C. DeSimone, Kent R. Bailey, Mark Dayer and Martin H. Thornhill and has published in prestigious journals such as Clinical Infectious Diseases, Mayo Clinic Proceedings and The American Journal of the Medical Sciences.

In The Last Decade

Raj Palraj

13 papers receiving 203 citations

Author Peers

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

Author						Papers	Cites
Raj Palraj	143	109	47	45	27	15	205
Zuleika Aponte‐Torres	141 1.0×	152 1.4×	18 0.4×	23 0.5×	18 0.7×	11	290
Koray Demir	63 0.4×	122 1.1×	68 1.4×	55 1.2×	23 0.9×	17	236
Maria Paola Ursi	150 1.0×	125 1.1×	27 0.6×	42 0.9×	31 1.1×	15	260
William Paolo	73 0.5×	103 0.9×	25 0.5×	35 0.8×	36 1.3×	18	281
Lawrence Eisenstein	79 0.6×	90 0.8×	47 1.0×	29 0.6×	22 0.8×	12	191
Gregory M. Schrank	75 0.5×	69 0.6×	26 0.6×	18 0.4×	17 0.6×	21	208
Filippo Givone	60 0.4×	81 0.7×	16 0.3×	28 0.6×	20 0.7×	11	139
Federica Agrusta	92 0.6×	84 0.8×	16 0.3×	18 0.4×	40 1.5×	12	173
Timothy R. Pasquale	125 0.9×	78 0.7×	57 1.2×	31 0.7×	17 0.6×	16	280
Elena Rosselli Del Turco	152 1.1×	72 0.7×	43 0.9×	32 0.7×	11 0.4×	12	233

Countries citing papers authored by Raj Palraj

Since Specialization

Citations

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

Fields of papers citing papers by Raj Palraj

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raj Palraj

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