Uma Mudunuru

712 citations
9 papers · 526 · h-index 5

Impact in

    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
  • Hematology top 10%
    • Acute Myeloid Leukemia Research

Papers in

    • Histone Deacetylase Inhibitors Research 3
    • Retinoids in leukemia and cellular processes 2
    • Influenza Virus Research Studies 2
    • Autophagy in Disease and Therapy 2

Uma Mudunuru

9 papers receiving 522 citations

Peers

Uma Mudunuru
Comparison fields: 5 of 62
  • Immunology 184
  • Hematology 75
  • Infectious Diseases 89
  • Molecular Biology 240
  • Epidemiology 98
Replace Shannon Chilewski with:
Shannon Chilewski United States
Mercedes Bermejo Spain
Roanna Ueda United States
Gisela Cáceres United States
Kenichi Takaku Japan
Liliana Clemenza Canada
Dieter Hoelzer Germany
G.C. Spagnoli Switzerland
Renee C. Duncan Australia
Hamlata Dewchand United Kingdom
Uma Mudunuru relative to Shannon Chilewski United States Shannon Chilewski's profile →
Citations per field
00.5×4.7×
Shannon Chilewski · 1×
Citations per year

Countries citing papers authored by Uma Mudunuru

Since Specialization
Citations

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

Fields of papers citing papers by Uma Mudunuru

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2018267
2 2011101
3 201297
4 201240
5 201011
6 20113
7 20173
8 20112
9 20092

About Uma Mudunuru

Uma Mudunuru is a scholar working on Molecular Biology, Epidemiology, Hematology, Immunology and Pathology and Forensic Medicine, having authored 9 papers that have together received 526 indexed citations. Recurring topics across this work include Histone Deacetylase Inhibitors Research (3 papers), Acute Myeloid Leukemia Research (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Lymphoma Diagnosis and Treatment (2 papers), T-cell and B-cell Immunology (2 papers), Retinoids in leukemia and cellular processes (2 papers), Influenza Virus Research Studies (2 papers) and Autophagy in Disease and Therapy (2 papers). The work is most often cited by research in Immunology (184 citations), Hematology (75 citations), Infectious Diseases (89 citations), Molecular Biology (240 citations) and Epidemiology (98 citations). Uma Mudunuru has collaborated with scholars based in United States, Switzerland and China. Frequent co-authors include John Bradley, S. Rameeza Allie, Troy D. Randall, Frances E. Lund, Michael D. Schultz, Beth Graf, Rekha Rao, Warren Fiskus, Kapil N. Bhalla and Ramesh Balusu. Their work appears in journals such as Molecular Cancer Therapeutics, Blood, Clinical Cancer Research, The Journal of Immunology and Nature Immunology.

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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