David M. Neskey
Impact in
- Otorhinolaryngology top 0.5%
- Head and Neck Cancer Studies
- Oncology top 5%
- Ear and Head Tumors
- Cancer Immunotherapy and Biomarkers
Papers in
-
- Head and Neck Cancer Studies 18
- Oncology 40
- Cancer Immunotherapy and Biomarkers 10
- Ear and Head Tumors 8
- Cancer-related Molecular Pathways 5
- CAR-T cell therapy research 5
- Co-authors
- Shaun A. NguyenTerry A. DayEric J. LentschEvan M. GraboyesCynthia C. MortonStanislawa WeremowiczJeffrey N. MyersBradley J. Quade
- Journals
- Otolaryngology (6 papers)Cancer Research (5 papers)Oral Oncology (4 papers)Head & Neck (3 papers)JAMA Otolaryngology–Head & Neck Surgery (3 papers)
- Partner nations
- United StatesIndiaChina
In The Last Decade
David M. Neskey
65 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Otorhinolaryngology 618
- Oncology 801
- Obstetrics and Gynecology 177
- Cancer Research 226
- Surgery 651
Countries citing papers authored by David M. Neskey
This map shows the geographic impact of David M. Neskey'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 David M. Neskey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David M. Neskey more than expected).
Fields of papers citing papers by David M. Neskey
This network shows the impact of papers produced by David M. Neskey. 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 David M. Neskey. The network helps show where David M. Neskey may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David M. Neskey, 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 | 2022 | 15 | |
| 2 | 2022 | 12 | |
| 3 | 2022 | 2 | |
| 4 | 2022 | 13 | |
| 5 | 2021 | 26 | |
| 6 | 2021 | 5 | |
| 7 | 2021 | 31 | |
| 8 | 2020 | 10 | |
| 9 | 2020 | 26 | |
| 10 | 2019 | 39 | |
| 11 | 2019 | 58 | |
| 12 | 2016 | 56 | |
| 13 | 2014 | 118 | |
| 14 | 2014 | 88 | |
| 15 | 2013 | 95 | |
| 16 | 2012 | 2 | |
| 17 | Abstract #4902: CD44, CD29 and CD133 as potential markers for Cancer Stem Cells (CSC) in Head and Neck Squamous Cell Carcinoma (HNSCC) | 2009 | 1 |
| 18 | 2009 | 99 | |
| 19 | 2008 | 16 | |
| 20 | 2001 | 66 |
About David M. Neskey
David M. Neskey is a scholar working on Otorhinolaryngology, Oncology, Surgery, Obstetrics and Gynecology and Reproductive Medicine, having authored 67 papers that have together received 2.0k indexed citations. Recurring topics across this work include Head and Neck Cancer Studies (18 papers), Salivary Gland Tumors Diagnosis and Treatment (11 papers), Cancer Immunotherapy and Biomarkers (10 papers), Ear and Head Tumors (8 papers), Head and Neck Surgical Oncology (7 papers), Immunotherapy and Immune Responses (6 papers), Cancer-related Molecular Pathways (5 papers) and CAR-T cell therapy research (5 papers). The work is most often cited by research in Otorhinolaryngology (618 citations), Oncology (801 citations), Obstetrics and Gynecology (177 citations), Cancer Research (226 citations) and Surgery (651 citations). David M. Neskey has collaborated with scholars based in United States, India and China. Frequent co-authors include Shaun A. Nguyen, Terry A. Day, Eric J. Lentsch, Evan M. Graboyes, Cynthia C. Morton, Stanislawa Weremowicz, Jeffrey N. Myers, Bradley J. Quade, Anvesh Kompelli and Roy R. Casiano. Their work appears in journals such as Otolaryngology, Cancer Research, Oral Oncology, Head & Neck and JAMA Otolaryngology–Head & Neck Surgery.
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.