Meena S. Kumar

3.7k total citations · 1 hit paper
6 papers, 3.0k citations indexed

About

Meena S. Kumar is a scholar working on Molecular Biology, Surgery and Cellular and Molecular Neuroscience. According to data from OpenAlex, Meena S. Kumar has authored 6 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Surgery and 1 paper in Cellular and Molecular Neuroscience. Recurrent topics in Meena S. Kumar's work include Ubiquitin and proteasome pathways (2 papers), Muscle Physiology and Disorders (2 papers) and Nausea and vomiting management (1 paper). Meena S. Kumar is often cited by papers focused on Ubiquitin and proteasome pathways (2 papers), Muscle Physiology and Disorders (2 papers) and Nausea and vomiting management (1 paper). Meena S. Kumar collaborates with scholars based in United States and India. Meena S. Kumar's co-authors include Gary K. Owens, Brian R. Wamhoff, A D Johnson, Mark H. Hoofnagle, Tadashi Yoshida, Keiko Kawai‐Kowase, Tanuj Kanchan, Naresh Kumar Midha and Medha Mohta and has published in prestigious journals such as Physiological Reviews, Circulation Research and Molecular and Cellular Biology.

In The Last Decade

Meena S. Kumar

6 papers receiving 2.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Molecular Regulation of Vascular Smooth Muscle Cell Differentiation in Development and Disease

2004 2.7k citations Gary K. Owens, Meena S. Kumar et al. Physiological Reviews profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Meena S. Kumar United States	4	1.8k	611	442	398	377	6	3.0k
Sergio Caballero United States	38	2.4k 1.4×	555 0.9×	408 0.9×	180 0.5×	380 1.0×	99	4.5k
Mary C.M. Weiser‐Evans United States	29	1.3k 0.7×	486 0.8×	277 0.6×	363 0.9×	318 0.8×	63	2.1k
Graciela B. Sala‐Newby United Kingdom	30	1.5k 0.9×	622 1.0×	299 0.7×	167 0.4×	403 1.1×	61	2.6k
Tae‐Hwa Chun Japan	29	1.6k 0.9×	731 1.2×	498 1.1×	302 0.8×	312 0.8×	51	3.4k
Robert E. Monticone United States	28	1.2k 0.7×	671 1.1×	560 1.3×	380 1.0×	616 1.6×	46	3.3k
Wei Zheng China	33	1.8k 1.0×	454 0.7×	526 1.2×	255 0.6×	539 1.4×	88	3.6k
Tara L. Haas Canada	33	1.4k 0.8×	978 1.6×	418 0.9×	231 0.6×	176 0.5×	76	3.0k
Susanne Adams Germany	19	2.3k 1.3×	459 0.8×	306 0.7×	288 0.7×	368 1.0×	22	3.5k
Mauricio Rojas United States	26	1.7k 1.0×	801 1.3×	361 0.8×	185 0.5×	337 0.9×	42	2.8k
Tatsuya Iso Japan	34	3.2k 1.8×	625 1.0×	519 1.2×	547 1.4×	320 0.8×	80	4.9k

Countries citing papers authored by Meena S. Kumar

Since Specialization

Citations

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

Fields of papers citing papers by Meena S. Kumar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Meena S. Kumar. 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 Meena S. Kumar. The network helps show where Meena S. Kumar may publish in the future.

Co-authorship network of co-authors of Meena S. Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Meena S. Kumar. A scholar is included among the top collaborators of Meena S. Kumar 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 Meena S. Kumar. Meena S. Kumar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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6 of 6 papers shown

1.

Kumar, Meena S., et al.. (2023). Diagnostic Dilemma in Fatal Paraquat Poisoning: An Autopsy Case Report. Academic Forensic Pathology. 13(2). 80–85. 2 indexed citations

2.

Mohta, Medha, et al.. (2015). The big “little problem” with postoperative nausea and vomiting prophylaxis. Indian Journal of Anaesthesia. 59(1). 60–61. 1 indexed citations

3.

Kawai‐Kowase, Keiko, Meena S. Kumar, Mark H. Hoofnagle, Tadashi Yoshida, & Gary K. Owens. (2005). PIAS1 Activates the Expression of Smooth Muscle Cell Differentiation Marker Genes by Interacting with Serum Response Factor and Class I Basic Helix-Loop-Helix Proteins. Molecular and Cellular Biology. 25(18). 8009–8023. 46 indexed citations

4.

Owens, Gary K., Meena S. Kumar, & Brian R. Wamhoff. (2004). Molecular Regulation of Vascular Smooth Muscle Cell Differentiation in Development and Disease. Physiological Reviews. 84(3). 767–801. 2714 indexed citations breakdown →

5.

Kumar, Meena S., et al.. (2003). Smooth Muscle α-Actin Gene Requires Two E-Boxes for Proper Expression In Vivo and Is a Target of Class I Basic Helix-Loop-Helix Proteins. Circulation Research. 92(8). 840–847. 67 indexed citations

6.

Kumar, Meena S. & Gary K. Owens. (2003). Combinatorial Control of Smooth Muscle–Specific Gene Expression. Arteriosclerosis Thrombosis and Vascular Biology. 23(5). 737–747. 146 indexed citations

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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