Robert L. DeWitty

1.4k total citations
36 papers, 983 citations indexed

About

Robert L. DeWitty is a scholar working on Oncology, Cancer Research and Genetics. According to data from OpenAlex, Robert L. DeWitty has authored 36 papers receiving a total of 983 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Oncology, 13 papers in Cancer Research and 10 papers in Genetics. Recurrent topics in Robert L. DeWitty's work include Breast Cancer Treatment Studies (12 papers), HER2/EGFR in Cancer Research (6 papers) and Global Cancer Incidence and Screening (6 papers). Robert L. DeWitty is often cited by papers focused on Breast Cancer Treatment Studies (12 papers), HER2/EGFR in Cancer Research (6 papers) and Global Cancer Incidence and Screening (6 papers). Robert L. DeWitty collaborates with scholars based in United States, Russia and Canada. Robert L. DeWitty's co-authors include LaSalle D. Leffall, Lucile L. Adams‐Campbell, Wayne Frederick, Tammey Naab, Indira Poola, Josephine J. Marshalleck, Jessy Abraham, Kepher H. Makambi, Chukwuemeka Ihemelandu and Rakesh Bhatnagar and has published in prestigious journals such as Nature Medicine, Journal of Clinical Oncology and Cancer.

In The Last Decade

Robert L. DeWitty

36 papers receiving 950 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Robert L. DeWitty United States 16 462 370 272 164 136 36 983
P. Hupperets Netherlands 21 629 1.4× 340 0.9× 328 1.2× 132 0.8× 104 0.8× 40 1.4k
Alicia Beeghly‐Fadiel United States 24 529 1.1× 430 1.2× 433 1.6× 295 1.8× 60 0.4× 74 1.3k
Miguel Ángel Seguí Spain 22 889 1.9× 444 1.2× 267 1.0× 115 0.7× 80 0.6× 83 1.4k
Matthias W. Beckmann Germany 17 394 0.9× 224 0.6× 415 1.5× 539 3.3× 121 0.9× 51 1.2k
Roberta Maltoni Italy 21 722 1.6× 376 1.0× 338 1.2× 129 0.8× 69 0.5× 84 1.2k
Pentti J. Taskinen Finland 16 465 1.0× 310 0.8× 343 1.3× 319 1.9× 63 0.5× 35 1.3k
Jessica St. Louis United States 12 729 1.6× 476 1.3× 499 1.8× 145 0.9× 90 0.7× 24 1.5k
Karen H. Lu United States 13 261 0.6× 290 0.8× 447 1.6× 137 0.8× 60 0.4× 19 1.0k
Jurandyr Moreira de Andrade Brazil 21 690 1.5× 290 0.8× 317 1.2× 89 0.5× 171 1.3× 114 1.5k
Uwe Güth Switzerland 22 694 1.5× 457 1.2× 205 0.8× 165 1.0× 139 1.0× 102 1.4k

Countries citing papers authored by Robert L. DeWitty

Since Specialization
Citations

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

Fields of papers citing papers by Robert L. DeWitty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert L. DeWitty. 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 Robert L. DeWitty. The network helps show where Robert L. DeWitty may publish in the future.

Co-authorship network of co-authors of Robert L. DeWitty

This figure shows the co-authorship network connecting the top 25 collaborators of Robert L. DeWitty. A scholar is included among the top collaborators of Robert L. DeWitty 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 Robert L. DeWitty. Robert L. DeWitty is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Naab, Tammey, Luisel Ricks‐Santi, Ashwini Esnakula, et al.. (2018). MYC amplification in subtypes of breast cancers in African American women. BMC Cancer. 18(1). 274–274. 13 indexed citations
2.
Copeland, Robert, Luisel Ricks‐Santi, Melvin Gaskins, et al.. (2017). Breast Cancer Prognosis for Young Patients. In Vivo. 31(4). 661–668. 9 indexed citations
3.
Ricks‐Santi, Luisel, Nicole Thompson, Barbara Harrison, et al.. (2015). Predictors of Self-Reported Family Health History of Breast Cancer. Journal of Immigrant and Minority Health. 18(5). 1175–1182. 4 indexed citations
4.
Downing, Stephanie R., et al.. (2011). T4b Breast Masses: A Retrospective Review of 12 Cases Presenting to a Metropolitan Tertiary Care Center. Journal of the National Medical Association. 103(8). 757–761. 1 indexed citations
5.
Poola, Indira, Jessy Abraham, Josephine J. Marshalleck, et al.. (2009). Molecular constitution of breast but not other reproductive tissues is rich in growth promoting molecules: A possible link to highest incidence of tumor growths. FEBS Letters. 583(18). 3069–3075. 5 indexed citations
6.
Adams‐Campbell, Lucile L., Kepher H. Makambi, Wayne Frederick, et al.. (2009). Breast Cancer Risk Assessments Comparing Gail and CARE Models in African-American Women. The Breast Journal. 15. S72–S75. 22 indexed citations
7.
Ihemelandu, Chukwuemeka, et al.. (2009). Trends in Clinicopathologic Characteristics and Prognostic Predictors of Survival Outcome in Black Patients with Gastric Carcinoma: A Single Institution's Experience. Journal of Surgical Research. 156(2). 325–332. 3 indexed citations
8.
Poola, Indira, et al.. (2008). Molecular Risk Assessment for Breast Cancer Development in Patients with Ductal Hyperplasias. Clinical Cancer Research. 14(4). 1274–1280. 24 indexed citations
9.
Ihemelandu, Chukwuemeka, Tammey Naab, Haile M. Mezghebe, et al.. (2008). Basal cell–like (triple-negative) breast cancer, a predictor of distant metastasis in African American women. The American Journal of Surgery. 195(2). 153–158. 31 indexed citations
10.
Ihemelandu, Chukwuemeka, Tammey Naab, Haile M. Mezghebe, et al.. (2008). Treatment and Survival Outcome for Molecular Breast Cancer Subtypes in Black Women. Annals of Surgery. 247(3). 463–469. 34 indexed citations
11.
Ihemelandu, Chukwuemeka, LaSalle D. Leffall, Robert L. DeWitty, et al.. (2007). Molecular Breast Cancer Subtypes in Premenopausal and Postmenopausal African-American Women: Age-Specific Prevalence and Survival. Journal of Surgical Research. 143(1). 109–118. 122 indexed citations
12.
13.
Poola, Indira, Robert L. DeWitty, Josephine J. Marshalleck, et al.. (2005). Identification of MMP-1 as a putative breast cancer predictive marker by global gene expression analysis. Nature Medicine. 11(5). 481–483. 147 indexed citations
14.
Chaudru, Valérie, Georgia M. Dunston, Lucile L. Adams‐Campbell, et al.. (2002). Interactions between genetic and reproductive factors in breast cancer risk in a population‐based sample of African‐American families. Genetic Epidemiology. 22(4). 285–297. 6 indexed citations
15.
16.
Dennis, Gary C. & Robert L. DeWitty. (1990). Long-term Intraventricular Infusion of Morphine for Intractable Pain in Cancer of the Head and Neck. Neurosurgery. 26(3). 404–408. 22 indexed citations
17.
Dennis, Gary C. & Robert L. DeWitty. (1990). Long-term intraventricular infusion of morphine for intractable pain in cancer of the head and neck. Neurosurgery. 404–404. 2 indexed citations
18.
Dennis, Gary C. & Robert L. DeWitty. (1987). Management of intractable pain in cancer patients by implantable morphine infusion systems.. PubMed. 79(9). 939–44. 15 indexed citations
19.
DeWitty, Robert L., et al.. (1987). The Infusaid pump in the management of intractable cancer pain.. PubMed. 79(3). 305–11. 3 indexed citations
20.
Halyard, Michele Y., et al.. (1987). The first simultaneous intraoperative hyperthermia and radiotherapy procedure: dog experiment and technique.. PubMed. 79(6). 619–24. 3 indexed citations

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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