Mamta Parikh

174 total papers · 1.2k total citations
62 papers, 421 citations indexed

About

Mamta Parikh is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Surgery. According to data from OpenAlex, Mamta Parikh has authored 62 papers receiving a total of 421 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Pulmonary and Respiratory Medicine, 32 papers in Oncology and 15 papers in Surgery. Recurrent topics in Mamta Parikh's work include Prostate Cancer Treatment and Research (29 papers), Bladder and Urothelial Cancer Treatments (14 papers) and PARP inhibition in cancer therapy (12 papers). Mamta Parikh is often cited by papers focused on Prostate Cancer Treatment and Research (29 papers), Bladder and Urothelial Cancer Treatments (14 papers) and PARP inhibition in cancer therapy (12 papers). Mamta Parikh collaborates with scholars based in United States, United Kingdom and Spain. Mamta Parikh's co-authors include Primo N. Lara, Christopher P. Evans, Yasser G. Abdelhafez, Simon R. Cherry, Guobao Wang, Chengfei Liu, Marc Dall’Era, Lorenzo Nardo, Ramsey D. Badawi and Allen C. Gao and has published in prestigious journals such as Journal of Clinical Oncology, Scientific Reports and The Journal of Urology.

In The Last Decade

Mamta Parikh

52 papers receiving 418 citations

Author Peers

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

Author						Papers	Cites
Mamta Parikh	169	162	147	90	57	62	421
Christoph Oehler	140 0.8×	120 0.7×	150 1.0×	81 0.9×	99 1.7×	38	475
Marcel Wiesweg	228 1.3×	209 1.3×	139 0.9×	86 1.0×	94 1.6×	47	445
Coralie Moncharmont	201 1.2×	155 1.0×	157 1.1×	58 0.6×	82 1.4×	26	430
Ioana Molnar	126 0.7×	164 1.0×	116 0.8×	107 1.2×	45 0.8×	54	493
Dorit Di Gioia	199 1.2×	111 0.7×	118 0.8×	81 0.9×	95 1.7×	33	371
József Lövey	168 1.0×	152 0.9×	90 0.6×	59 0.7×	49 0.9×	46	404
Y. Takai	120 0.7×	149 0.9×	172 1.2×	125 1.4×	91 1.6×	47	481
Xiangyang Yu	177 1.0×	222 1.4×	95 0.6×	63 0.7×	94 1.6×	43	443
Sonal Varma	105 0.6×	101 0.6×	193 1.3×	87 1.0×	69 1.2×	32	453
Wilfredo Alejandro González‐Arriagada	124 0.7×	109 0.7×	152 1.0×	52 0.6×	62 1.1×	55	470

Countries citing papers authored by Mamta Parikh

Since Specialization

Citations

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

Fields of papers citing papers by Mamta Parikh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mamta Parikh

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