Honey V. Reddi
- Cancer Research top 2%
- Cancer Genomics and Diagnostics 23
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- Thyroid Cancer Diagnosis and Treatment 8
- Genetics top 5%
- Genomics and Rare Diseases 7
- Glioma Diagnosis and Treatment 7
- BRCA gene mutations in cancer 6
- Molecular Biology top 10%
- RNA Interference and Gene Delivery 5
- Oncology top 10%
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- Brain Metastases and Treatment 6
- Lung Cancer Treatments and Mutations 6
- Co-authors
- Alicia Algeciras‐SchimnichDragana MiloševićStefan K. GrebeJennifer S. McDonaldBryan McIverNorman L. EberhardtHoward L. LiptonRobert C. Smallridge
- Journals
- Journal of Clinical Oncology (1 paper)The Journal of Clinical Endocrinology & Metabolism (3 papers)Cancer Research (3 papers)
- Partner nations
- United StatesGermanyIndia
In The Last Decade
Honey V. Reddi
74 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Cancer Research 759
- Endocrinology, Diabetes and Metabolism 413
- Genetics 405
- Molecular Biology 990
- Oncology 311
Countries citing papers authored by Honey V. Reddi
This map shows the geographic impact of Honey V. Reddi'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 Honey V. Reddi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Honey V. Reddi more than expected).
Fields of papers citing papers by Honey V. Reddi
This network shows the impact of papers produced by Honey V. Reddi. 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 Honey V. Reddi. The network helps show where Honey V. Reddi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Honey V. Reddi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2026 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 7 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 0 | |
| 7 | 2023 | 4 | |
| 8 | 2023 | 37 | |
| 9 | 2022 | 2 | |
| 10 | Screening for autosomal recessive and X-linked conditions during pregnancy and preconception: a practice resource of the American College of Medical Genetics and Genomics (ACMG)breakdown → | 2021 | 221 |
| 11 | 2021 | 29 | |
| 12 | 2020 | 3 | |
| 13 | 2017 | 1 | |
| 14 | 2013 | 32 | |
| 15 | 2010 | 48 | |
| 16 | 2006 | 20 | |
| 17 | 2004 | 18 | |
| 18 | 2004 | 6 | |
| 19 | 2003 | 16 | |
| 20 | 1998 | 11 |
About Honey V. Reddi
Honey V. Reddi is a scholar working on Cancer Research, Genetics and Genetics, having authored 81 papers that have together received 2.1k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (23 papers), Thyroid Cancer Diagnosis and Treatment (8 papers), Genomics and Rare Diseases (7 papers), Glioma Diagnosis and Treatment (7 papers), BRCA gene mutations in cancer (6 papers), Brain Metastases and Treatment (6 papers), Lung Cancer Treatments and Mutations (6 papers) and RNA Interference and Gene Delivery (5 papers). The work is most often cited by research in Cancer Research (759 citations), Endocrinology, Diabetes and Metabolism (413 citations) and Genetics (405 citations). Honey V. Reddi has collaborated with scholars based in United States, Germany and India. Frequent co-authors include Alicia Algeciras‐Schimnich, Dragana Milošević, Stefan K. Grebe, Jennifer S. McDonald, Bryan McIver, Norman L. Eberhardt, Stefan K. Grebe, Howard L. Lipton, Robert C. Smallridge and John C. Morris. Their work appears in journals such as Journal of Clinical Oncology, The Journal of Clinical Endocrinology & Metabolism and Cancer Research.
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.