Jennifer Rha

1.6k total citations
9 papers, 1.3k citations indexed

About

Jennifer Rha is a scholar working on Cancer Research, Molecular Biology and Genetics. According to data from OpenAlex, Jennifer Rha has authored 9 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cancer Research, 4 papers in Molecular Biology and 3 papers in Genetics. Recurrent topics in Jennifer Rha's work include Cancer, Hypoxia, and Metabolism (5 papers), RNA modifications and cancer (2 papers) and Erythropoietin and Anemia Treatment (2 papers). Jennifer Rha is often cited by papers focused on Cancer, Hypoxia, and Metabolism (5 papers), RNA modifications and cancer (2 papers) and Erythropoietin and Anemia Treatment (2 papers). Jennifer Rha collaborates with scholars based in United States and Slovakia. Jennifer Rha's co-authors include Travis L. Unger, Volker H. Haase, Brian Keith, Qingdu Liu, Erinn B. Rankin, M. Celeste Simon, Randall S. Johnson, Mangatt P. Biju, Mary Selak and Pinelopi P. Kapitsinou and has published in prestigious journals such as Journal of Clinical Investigation, Blood and The Journal of Immunology.

In The Last Decade

Jennifer Rha

8 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jennifer Rha United States	8	747	541	304	262	233	9	1.3k
Mangatt P. Biju United States	12	608 0.8×	582 1.1×	203 0.7×	180 0.7×	199 0.9×	15	1.2k
Marzia Scortegagna United States	16	705 0.9×	775 1.4×	135 0.4×	206 0.8×	249 1.1×	31	1.4k
Guo-Hua Fong United States	15	519 0.7×	566 1.0×	137 0.5×	243 0.9×	197 0.8×	15	1.1k
Enming J. Su United States	19	337 0.5×	491 0.9×	228 0.8×	104 0.4×	52 0.2×	36	1.4k
Kshama Mehta United States	19	532 0.7×	925 1.7×	82 0.3×	101 0.4×	139 0.6×	22	1.8k
Jacqueline Ho United States	24	721 1.0×	1.9k 3.5×	127 0.4×	131 0.5×	374 1.6×	53	2.5k
Nehal S. Parikh United States	10	231 0.3×	690 1.3×	91 0.3×	163 0.6×	117 0.5×	21	987
George Jarad United States	21	212 0.3×	949 1.8×	108 0.4×	99 0.4×	212 0.9×	25	1.8k
Archana Bommi‐Reddy United States	9	412 0.6×	899 1.7×	66 0.2×	364 1.4×	137 0.6×	15	1.3k
Ioanna Mosialou United States	12	111 0.1×	552 1.0×	309 1.0×	215 0.8×	83 0.4×	17	1.3k

Countries citing papers authored by Jennifer Rha

Since Specialization

Citations

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

Fields of papers citing papers by Jennifer Rha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Rha

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

Verkerke, Hans, et al.. (2021). Longitudinal assessment of SARS-CoV-2 nucleocapsid antigenemia in patients hospitalized with COVID-19. American Journal of Clinical Pathology. 156(Supplement_1). S1–S1.

Banerjee, Ayan, Jennifer Rha, Christina Groß, et al.. (2017). The Conserved, Disease-Associated RNA Binding Protein dNab2 Interacts with the Fragile X Protein Ortholog in Drosophila Neurons. Cell Reports. 20(6). 1372–1384. 24 indexed citations

Rha, Jennifer, Stephanie K. Jones, Jonathan A. Fidler, et al.. (2017). The RNA-binding protein, ZC3H14, is required for proper poly(A) tail length control, expression of synaptic proteins, and brain function in mice. Human Molecular Genetics. 26(19). 3663–3681. 25 indexed citations

Noorian, Ali Reza, et al.. (2012). Alpha-synuclein transgenic mice display age-related slowing of gastrointestinal motility associated with transgene expression in the vagal system. Neurobiology of Disease. 48(1). 9–19. 67 indexed citations

Kobayashi, Hanako, Qingdu Liu, Pinelopi P. Kapitsinou, et al.. (2012). Myeloid Cell-Derived Hypoxia-Inducible Factor Attenuates Inflammation in Unilateral Ureteral Obstruction-Induced Kidney Injury. The Journal of Immunology. 188(10). 5106–5115. 83 indexed citations

Kapitsinou, Pinelopi P., Qingdu Liu, Travis L. Unger, et al.. (2010). Hepatic HIF-2 regulates erythropoietic responses to hypoxia in renal anemia. Blood. 116(16). 3039–3048. 238 indexed citations

Rankin, Erinn B., Jennifer Rha, Mary Selak, et al.. (2009). Hypoxia-Inducible Factor 2 Regulates Hepatic Lipid Metabolism. Molecular and Cellular Biology. 29(16). 4527–4538. 263 indexed citations

Rankin, Erinn B., Jennifer Rha, Travis L. Unger, et al.. (2008). Hypoxia-inducible factor-2 regulates vascular tumorigenesis in mice. Oncogene. 27(40). 5354–5358. 118 indexed citations

Rankin, Erinn B., Mangatt P. Biju, Qingdu Liu, et al.. (2007). Hypoxia-inducible factor–2 (HIF-2) regulates hepatic erythropoietin in vivo. Journal of Clinical Investigation. 117(4). 1068–1077. 469 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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