Mia R. Kumar

768 total citations
9 papers, 523 citations indexed

About

Mia R. Kumar is a scholar working on Infectious Diseases, Molecular Biology and Cancer Research. According to data from OpenAlex, Mia R. Kumar has authored 9 papers receiving a total of 523 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Infectious Diseases, 4 papers in Molecular Biology and 3 papers in Cancer Research. Recurrent topics in Mia R. Kumar's work include MicroRNA in disease regulation (3 papers), SARS-CoV-2 detection and testing (3 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). Mia R. Kumar is often cited by papers focused on MicroRNA in disease regulation (3 papers), SARS-CoV-2 detection and testing (3 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). Mia R. Kumar collaborates with scholars based in United States, China and South Korea. Mia R. Kumar's co-authors include Xin Wei Wang, Xuelian Zhao, Reed F. Johnson, Lisa E. Hensley, Yu Jiang, Andrew D. Ellington, Sanchita Bhadra, Marshonna Forgues, Junfang Ji and Stéphanie Roessler and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Hepatology.

In The Last Decade

Mia R. Kumar

9 papers receiving 513 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mia R. Kumar United States	9	226	166	161	154	84	9	523
Dubo Chen China	10	54 0.2×	72 0.4×	59 0.4×	50 0.3×	17 0.2×	22	294
Christina Gehrke Germany	8	267 1.2×	110 0.7×	44 0.3×	92 0.6×	7 0.1×	10	560
Samuel H. Whiting United States	12	176 0.8×	65 0.4×	73 0.5×	23 0.1×	31 0.4×	18	435
Virendra Joshi United States	12	158 0.7×	22 0.1×	59 0.4×	190 1.2×	17 0.2×	43	438
Ben Tran Australia	8	130 0.6×	67 0.4×	16 0.1×	159 1.0×	17 0.2×	20	360
Fotini Debonera United States	9	246 1.1×	73 0.4×	30 0.2×	176 1.1×	9 0.1×	18	579
Hongqiang Gao China	11	340 1.5×	252 1.5×	187 1.2×	16 0.1×	9 0.1×	19	574
Masayoshi Fukuda Japan	8	116 0.5×	50 0.3×	37 0.2×	62 0.4×	130 1.5×	13	540
Renzo Perales‐Linares United States	7	259 1.1×	68 0.4×	35 0.2×	27 0.2×	17 0.2×	10	517
Yanhai Guo China	10	235 1.0×	51 0.3×	70 0.4×	28 0.2×	36 0.4×	28	546

Countries citing papers authored by Mia R. Kumar

Since Specialization

Citations

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

Fields of papers citing papers by Mia R. Kumar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mia R. Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Mia R. Kumar. A scholar is included among the top collaborators of Mia R. 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 Mia R. Kumar. Mia R. 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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9 of 9 papers shown

Sun, Yulin, Fubo Ji, Mia R. Kumar, et al.. (2017). Transcriptome integration analysis in hepatocellular carcinoma reveals discordant intronic miRNA-host gene pairs in expression. International Journal of Biological Sciences. 13(11). 1438–1449. 16 indexed citations

Sztuba-Solińska, Joanna, Mia R. Kumar, Michael R. Wiley, et al.. (2016). A small stem-loop structure of the Ebola virus trailer is essential for replication and interacts with heat-shock protein A8. Nucleic Acids Research. 44(20). gkw825–gkw825. 19 indexed citations

Kumar, Mia R., Steven Mazur, Elena Postnikova, et al.. (2015). Inactivation and safety testing of Middle East Respiratory Syndrome Coronavirus. Journal of Virological Methods. 223. 13–18. 52 indexed citations

Johnson, Reed F., Laura E. Via, Mia R. Kumar, et al.. (2015). Intratracheal exposure of common marmosets to MERS-CoV Jordan-n3/2012 or MERS-CoV EMC/2012 isolates does not result in lethal disease. Virology. 485. 422–430. 38 indexed citations

Bhadra, Sanchita, Yu Jiang, Mia R. Kumar, et al.. (2015). Real-Time Sequence-Validated Loop-Mediated Isothermal Amplification Assays for Detection of Middle East Respiratory Syndrome Coronavirus (MERS-CoV). PLoS ONE. 10(4). e0123126–e0123126. 109 indexed citations

Oishi, Naoki, Mia R. Kumar, Stéphanie Roessler, et al.. (2012). Transcriptomic profiling reveals hepatic stem-like gene signatures and interplay of miR-200c and epithelial-mesenchymal transition in intrahepatic cholangiocarcinoma. Hepatology. 56(5). 1792–1803. 187 indexed citations

Wei, Bih‐Rong, R. Mark Simpson, Donald J. Johann, et al.. (2012). Proteomic Profiling of H-Ras-G12V Induced Hypertrophic Cardiomyopathy in Transgenic Mice Using Comparative LC-MS Analysis of Thin Fresh-Frozen Tissue Sections. Journal of Proteome Research. 11(3). 1561–1570. 11 indexed citations

Kumar, Mia R., Xuelian Zhao, & Xin Wei Wang. (2011). Molecular carcinogenesis of hepatocellular carcinoma and intrahepatic cholangiocarcinoma: one step closer to personalized medicine?. Cell & Bioscience. 1(1). 5–5. 78 indexed citations

Martin, Philip, Shelley Hoover, Elizabeth I. Spehalski, et al.. (2011). Capacity for resolution of Ras-MAPK-initiated early pathogenic myocardial hypertrophy modeled in mice.. PubMed. 61(2). 109–18. 13 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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