Honey V. Reddi
- Molecular Biology top 10%
- Cancer Research top 2%
- Endocrinology, Diabetes and Metabolism top 5%
- Genetics top 5%
- Pulmonary and Respiratory Medicine top 10%
- Co-authors
- Alicia Algeciras‐SchimnichDragana MiloševićStefan K. GrebeJennifer S. McDonaldBryan McIverNorman L. EberhardtHoward L. LiptonRobert C. Smallridge
- Topics
- Cancer Genomics and Diagnostics (23 papers)Thyroid Cancer Diagnosis and Treatment (8 papers)Genomics and Rare Diseases (7 papers)
- Journals
- Journal of Clinical OncologyThe Journal of Clinical Endocrinology & MetabolismCancer Research
- 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
- Molecular Biology 990
- Cancer Research 759
- Endocrinology, Diabetes and Metabolism 413
- Genetics 405
- Pulmonary and Respiratory Medicine 313
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 of co-authors of Honey V. Reddi
This figure shows the co-authorship network connecting the top 25 collaborators of Honey V. Reddi. A scholar is included among the top collaborators of Honey V. Reddi 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 Honey V. Reddi. Honey V. Reddi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 7 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 4 | |
| 8 | 37 | |
| 9 | 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 → | 221 |
| 11 | 29 | |
| 12 | 3 | |
| 13 | 1 | |
| 14 | 32 | |
| 15 | 48 | |
| 16 | 20 | |
| 17 | 18 | |
| 18 | 6 | |
| 19 | 16 | |
| 20 | 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) and Genomics and Rare Diseases (7 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.