Jennifer Rha

1.6k citations
9 papers · 1.3k · h-index 8

Impact in

    • Cancer, Hypoxia, and Metabolism
  • Hematology top 5%
    • Erythropoietin and Anemia Treatment
    • Iron Metabolism and Disorders

Papers in

    • Cancer, Hypoxia, and Metabolism 5
    • RNA modifications and cancer 2
    • RNA Research and Splicing 2
    • Advanced biosensing and bioanalysis techniques 1

Jennifer Rha

8 papers receiving 1.3k citations

Peers

Jennifer Rha
Comparison fields: 5 of 77
  • Cancer Research 747
  • Hematology 304
  • Genetics 152
  • Physiology 262
  • Nephrology 61
Replace Mangatt P. Biju with:
Mangatt P. Biju United States
Guo-Hua Fong United States
Marzia Scortegagna United States
Jacqueline Ho United States
Enming J. Su United States
Magdalena L. Bochenek Germany
Li‐Juan Duan United States
Ioanna Mosialou United States
Kshama Mehta United States
Hideyasu Oh Japan
Jennifer Rha relative to Mangatt P. Biju United States Mangatt P. Biju's profile →
Citations per field
00.5×1.5×1.9×
Mangatt P. Biju · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Jennifer Rha, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jennifer Rha Line = papers co-authored together Jennifer Rha links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2007469
2 2009263
3 2010238
4 2008118
5 201283
6 201267
7 201725
8 201724
9 20210

About Jennifer Rha

Jennifer Rha is a scholar working on Cancer Research, Molecular Biology, Genetics, Hematology and Infectious Diseases, having authored 9 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (5 papers), High Altitude and Hypoxia (2 papers), RNA modifications and cancer (2 papers), RNA Research and Splicing (2 papers), Erythropoietin and Anemia Treatment (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), Child Nutrition and Feeding Issues (1 paper) and SARS-CoV-2 and COVID-19 Research (1 paper). The work is most often cited by research in Cancer Research (747 citations), Hematology (304 citations), Genetics (152 citations), Physiology (262 citations) and Nephrology (61 citations). Jennifer Rha has collaborated with scholars based in United States and Slovakia. Frequent co-authors include Volker H. Haase, Travis L. Unger, Brian Keith, Qingdu Liu, Erinn B. Rankin, Randall S. Johnson, M. Celeste Simon, Mangatt P. Biju, Mary Selak and Pinelopi P. Kapitsinou. Their work appears in journals such as Blood, The Journal of Immunology, Human Molecular Genetics, Cell Reports and Journal of Clinical Investigation.

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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