Madhu L. Gorrepati

14 total papers · 567 total citations
11 papers, 391 citations indexed

About

Madhu L. Gorrepati is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Oncology. According to data from OpenAlex, Madhu L. Gorrepati has authored 11 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Pulmonary and Respiratory Medicine, 5 papers in Surgery and 4 papers in Oncology. Recurrent topics in Madhu L. Gorrepati's work include Aortic aneurysm repair treatments (5 papers), Aortic Disease and Treatment Approaches (4 papers) and Cardiac, Anesthesia and Surgical Outcomes (3 papers). Madhu L. Gorrepati is often cited by papers focused on Aortic aneurysm repair treatments (5 papers), Aortic Disease and Treatment Approaches (4 papers) and Cardiac, Anesthesia and Surgical Outcomes (3 papers). Madhu L. Gorrepati collaborates with scholars based in United States and Netherlands. Madhu L. Gorrepati's co-authors include S. C. Mehendale, Daniel Oh, Rishindra M. Reddy, Michael F. Reed, Christopher K. Zarins, C. Alberto Figueroa, Charles A. Taylor, Anamika Prasad, Evert J. Waasdorp and Scott N. Schiffres and has published in prestigious journals such as The Annals of Thoracic Surgery, Journal of Vascular Surgery and Aerosol Science and Technology.

In The Last Decade

Madhu L. Gorrepati

11 papers receiving 390 citations

Author Peers

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

Author						Papers	Cites
Madhu L. Gorrepati	322	131	65	42	40	11	391
Louis R. Head	200 0.6×	91 0.7×	75 1.2×	34 0.8×	50 1.3×	16	356
Alla Zemlyak	160 0.5×	156 1.2×	22 0.3×	21 0.5×	29 0.7×	14	388
Beatrix Cucuruz	305 0.9×	169 1.3×	41 0.6×	33 0.8×	40 1.0×	17	372
Lucy Dabner	176 0.5×	104 0.8×	106 1.6×	45 1.1×	42 1.1×	12	335
Mark Dylewski	325 1.0×	86 0.7×	30 0.5×	39 0.9×	18 0.5×	16	353
David Chandrakumar	244 0.8×	148 1.1×	160 2.5×	61 1.5×	30 0.8×	12	380
Maria‐Katharina Ganten	223 0.7×	33 0.3×	140 2.2×	133 3.2×	24 0.6×	11	356
H. Hakki	317 1.0×	101 0.8×	104 1.6×	46 1.1×	31 0.8×	17	343
Irene Boos	247 0.8×	287 2.2×	35 0.5×	30 0.7×	15 0.4×	16	349
L.i-Ming Su	306 1.0×	133 1.0×	16 0.2×	30 0.7×	27 0.7×	11	356

Countries citing papers authored by Madhu L. Gorrepati

Since Specialization

Citations

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

Fields of papers citing papers by Madhu L. Gorrepati

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Madhu L. Gorrepati. 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 Madhu L. Gorrepati. The network helps show where Madhu L. Gorrepati may publish in the future.

Co-authorship network of co-authors of Madhu L. Gorrepati

This figure shows the co-authorship network connecting the top 25 collaborators of Madhu L. Gorrepati. A scholar is included among the top collaborators of Madhu L. Gorrepati 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 Madhu L. Gorrepati. Madhu L. Gorrepati 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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