Rekha Rao

5.5k citations
49 papers · 2.2k · h-index 25

Impact in

  • Hematology top 2%
    • Acute Myeloid Leukemia Research
  • Genetics top 5%
    • Myeloproliferative Neoplasms: Diagnosis and Treatment

Papers in

    • Histone Deacetylase Inhibitors Research 25
    • Ubiquitin and proteasome pathways 14
    • Epigenetics and DNA Methylation 7
    • Heat shock proteins research 6
    • Protein Degradation and Inhibitors 6
    • Endoplasmic Reticulum Stress and Disease 12

Rekha Rao

49 papers receiving 2.2k citations

Peers

Rekha Rao
Comparison fields: 5 of 88
  • Hematology 460
  • Genetics 262
  • Molecular Biology 1.7k
  • Oncology 354
  • Cell Biology 228
Replace Maria E. Balasis with:
Maria E. Balasis United States
Sha Jin United States
Yosef Landesman United States
Yukimasa Shiotsu Japan
Matthew R. Janes United States
Masaki Ri Japan
Zuomei Li United States
Jiro Kikuchi Japan
William Senapedis United States
Cassandra J. Vandenberg Australia
Rekha Rao relative to Maria E. Balasis United States Maria E. Balasis's profile →
Citations per field
00.5×1.5×2.2×
Maria E. Balasis · 1×
Citations per year

Countries citing papers authored by Rekha Rao

Since Specialization
Citations

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

Fields of papers citing papers by Rekha Rao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Rekha Rao, 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 Rekha Rao Line = papers co-authored together Rekha Rao links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009292
2 2014199
3 2008157
4 2009149
5 2007122
6 2011101
7 200699
8 201297
9 201184
10 200681
11 201071
12 200870
13 200970
14 201165
15 200858
16 201649
17 201042
18 200842
19 201240
20 201039

About Rekha Rao

Rekha Rao is a scholar working on Molecular Biology, Cell Biology, Hematology, Epidemiology and Oncology, having authored 49 papers that have together received 2.2k indexed citations. Recurring topics across this work include Histone Deacetylase Inhibitors Research (25 papers), Ubiquitin and proteasome pathways (14 papers), Endoplasmic Reticulum Stress and Disease (12 papers), Epigenetics and DNA Methylation (7 papers), Heat shock proteins research (6 papers), Protein Degradation and Inhibitors (6 papers), Acute Myeloid Leukemia Research (6 papers) and Autophagy in Disease and Therapy (6 papers). The work is most often cited by research in Hematology (460 citations), Genetics (262 citations), Molecular Biology (1.7k citations), Oncology (354 citations) and Cell Biology (228 citations). Rekha Rao has collaborated with scholars based in United States, India and Japan. Frequent co-authors include Kapil N. Bhalla, Warren Fiskus, Peter Atadja, Ramesh Balusu, Jianguang Chen, Yonghua Yang, Celalettin Üstün, Pravina Fernandez, Aditya Mandawat and Kyungsoo Ha. Their work appears in journals such as Blood, Clinical Cancer Research, Molecular Cancer Therapeutics, Cancer Research and Cancer Biology & Therapy.

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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