Shivda Pandey

21 total papers · 686 total citations
10 papers, 328 citations indexed

About

Shivda Pandey is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Shivda Pandey has authored 10 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Cardiology and Cardiovascular Medicine and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Shivda Pandey's work include Amyloidosis: Diagnosis, Treatment, Outcomes (4 papers), Cardiovascular Disease and Adiposity (3 papers) and Cardiac Imaging and Diagnostics (3 papers). Shivda Pandey is often cited by papers focused on Amyloidosis: Diagnosis, Treatment, Outcomes (4 papers), Cardiovascular Disease and Adiposity (3 papers) and Cardiac Imaging and Diagnostics (3 papers). Shivda Pandey collaborates with scholars based in United States, Brazil and Italy. Shivda Pandey's co-authors include Khurram Nasir, Roger S. Blumenthal, Matthew J. Budoff, Chiadi E. Ndumele, Yasmin S. Hamirani, Juan J. Rivera, Emelia J. Benjamin, Paul F. Jacques, Jared W. Magnani and Victor M. Johnson and has published in prestigious journals such as American Journal of Clinical Nutrition, Biochemical and Biophysical Research Communications and Atherosclerosis.

In The Last Decade

Shivda Pandey

10 papers receiving 318 citations

Author Peers

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

Author						Papers	Cites
Shivda Pandey	136	83	59	54	43	10	328
F K Rømer	103 0.8×	63 0.8×	28 0.5×	38 0.7×	17 0.4×	18	345
Serdar Gökhan Nurkoç	133 1.0×	77 0.9×	68 1.2×	55 1.0×	14 0.3×	18	296
Yen‐Wei Li	102 0.8×	29 0.3×	75 1.3×	37 0.7×	18 0.4×	10	264
Calogero Geraci	159 1.2×	24 0.3×	54 0.9×	53 1.0×	27 0.6×	11	351
Lieneke Scheven	126 0.9×	25 0.3×	38 0.6×	36 0.7×	45 1.0×	10	329
K. Y. Na	57 0.4×	68 0.8×	47 0.8×	42 0.8×	26 0.6×	11	351
R. A. Ajjan	93 0.7×	34 0.4×	38 0.6×	46 0.9×	20 0.5×	9	301
Yoshiro Onoue	135 1.0×	74 0.9×	44 0.7×	34 0.6×	15 0.3×	13	338
Lele Cheng	57 0.4×	178 2.1×	70 1.2×	49 0.9×	11 0.3×	18	340
Lisa K. Brath	127 0.9×	82 1.0×	106 1.8×	87 1.6×	13 0.3×	11	331

Countries citing papers authored by Shivda Pandey

Since Specialization

Citations

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

Fields of papers citing papers by Shivda Pandey

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shivda Pandey

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