Dhara MacDermed

955 total citations
17 papers, 722 citations indexed

About

Dhara MacDermed is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Cancer Research. According to data from OpenAlex, Dhara MacDermed has authored 17 papers receiving a total of 722 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pulmonary and Respiratory Medicine, 7 papers in Oncology and 6 papers in Cancer Research. Recurrent topics in Dhara MacDermed's work include Breast Cancer Treatment Studies (5 papers), Glycosylation and Glycoproteins Research (3 papers) and Advanced Radiotherapy Techniques (3 papers). Dhara MacDermed is often cited by papers focused on Breast Cancer Treatment Studies (5 papers), Glycosylation and Glycoproteins Research (3 papers) and Advanced Radiotherapy Techniques (3 papers). Dhara MacDermed collaborates with scholars based in United States, France and Belgium. Dhara MacDermed's co-authors include Ralph R. Weichselbaum, Nikolai N. Khodarev, Sean P. Pitroda, Joseph K. Salama, Michael A. Beckett, Donald Küfe, Lei Huang, Mara Beveridge, Ravi F. Sood and Bassam T. Wakim and has published in prestigious journals such as Cancer Research, Oncogene and The Lancet Oncology.

In The Last Decade

Dhara MacDermed

16 papers receiving 714 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dhara MacDermed United States 12 288 269 220 170 108 17 722
Kevin S. Choe United States 15 352 1.2× 314 1.2× 271 1.2× 143 0.8× 61 0.6× 31 1.0k
Loredana Militello Italy 9 355 1.2× 319 1.2× 197 0.9× 205 1.2× 106 1.0× 19 746
Frédérique Berger France 19 420 1.5× 517 1.9× 323 1.5× 411 2.4× 69 0.6× 64 1.0k
Yuya Sato Japan 14 303 1.1× 150 0.6× 249 1.1× 67 0.4× 72 0.7× 45 811
Zizhen Feng China 12 671 2.3× 272 1.0× 140 0.6× 145 0.9× 48 0.4× 23 1.0k
Erica L. Kreimann Argentina 11 401 1.4× 193 0.7× 120 0.5× 64 0.4× 44 0.4× 20 865
Nobuyuki Tsunoda Japan 17 310 1.1× 430 1.6× 179 0.8× 257 1.5× 72 0.7× 37 855
Jane‐Chloé Trone France 10 150 0.5× 165 0.6× 142 0.6× 107 0.6× 30 0.3× 43 501
Quan‐Sing Ng Singapore 13 151 0.5× 256 1.0× 251 1.1× 132 0.8× 22 0.2× 17 770
Jaleh Fallah United States 10 204 0.7× 211 0.8× 204 0.9× 224 1.3× 47 0.4× 26 603

Countries citing papers authored by Dhara MacDermed

Since Specialization
Citations

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

Fields of papers citing papers by Dhara MacDermed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dhara MacDermed

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

All Works

17 of 17 papers shown
1.
Chargari, Cyrus, et al.. (2022). Cannon Ball Lucencies from Last Century: Lucite Balls Used to Treat Pulmonary Tuberculosis. The Indian Journal of Chest Diseases and Allied Sciences. 52(1). 59–59.
2.
Lee, Richard J., et al.. (2018). Prostate cancer in transgender women. Urologic Oncology Seminars and Original Investigations. 36(12). 518–525. 43 indexed citations
3.
MacDermed, Dhara, Pamela K. Allen, Abigail S. Caudle, et al.. (2013). Therapeutic radiation dose delivered to the low axilla during whole breast radiation therapy in the prone position: Implications for targeting the undissected axilla. Practical Radiation Oncology. 4(2). 116–122. 6 indexed citations
4.
MacDermed, Dhara, et al.. (2011). Diverse perspectives on the current state of genomic medicine: has the revolution begun?. Genome Medicine. 3(5). 27–27. 1 indexed citations
5.
Felding‐Habermann, Brunhilde, Mihaela Lorger, Dhara MacDermed, et al.. (2011). PD03-07: Breast Cancer Heterogeneity and Treatment Resistance: Clues from Metaplastic Tumors.. Cancer Research. 71(24_Supplement). PD03–7. 2 indexed citations
6.
Nichols, Michael A., Loren K. Mell, Michael D. Hasselle, et al.. (2010). Outcomes in Black Patients With Early Breast Cancer Treated With Breast Conservation Therapy. International Journal of Radiation Oncology*Biology*Physics. 79(2). 392–399. 3 indexed citations
7.
MacDermed, Dhara, Nikolai N. Khodarev, Sean P. Pitroda, et al.. (2010). MUC1-associated proliferation signature predicts outcomes in lung adenocarcinoma patients. BMC Medical Genomics. 3(1). 16–16. 58 indexed citations
8.
Magné, Nicolas, Cyrus Chargari, Dhara MacDermed, et al.. (2010). Tomorrow's targeted therapies in breast cancer patients: What is the risk for increased radiation-induced cardiac toxicity?. Critical Reviews in Oncology/Hematology. 76(3). 186–195. 28 indexed citations
9.
Pitroda, Sean P., Bassam T. Wakim, Ravi F. Sood, et al.. (2009). STAT1-dependent expression of energy metabolic pathways links tumour growth and radioresistance to the Warburg effect. BMC Medicine. 7(1). 68–68. 143 indexed citations
10.
MacDermed, Dhara, Luke Miller, Terrance D. Peabody, et al.. (2009). Primary Tumor Necrosis Predicts Distant Control in Locally Advanced Soft-Tissue Sarcomas After Preoperative Concurrent Chemoradiotherapy. International Journal of Radiation Oncology*Biology*Physics. 76(4). 1147–1153. 72 indexed citations
11.
Khodarev, Nikolai N., Sean P. Pitroda, Michael A. Beckett, et al.. (2009). MUC1-Induced Transcriptional Programs Associated with Tumorigenesis Predict Outcome in Breast and Lung Cancer. Cancer Research. 69(7). 2833–2837. 90 indexed citations
12.
Chargari, Cyrus, et al.. (2009). Internal Mammary Lymph Node Irradiation Contributes to Heart Dose in Breast Cancer. Medical dosimetry. 35(3). 163–168. 15 indexed citations
13.
Khodarev, Nikolai N., Rehan Ahmad, Hasan Rajabi, et al.. (2009). Cooperativity of the MUC1 oncoprotein and STAT1 pathway in poor prognosis human breast cancer. Oncogene. 29(6). 920–929. 82 indexed citations
14.
MacDermed, Dhara, Ralph R. Weichselbaum, & Joseph K. Salama. (2008). A rationale for the targeted treatment of oligometastases with radiotherapy. Journal of Surgical Oncology. 98(3). 202–206. 96 indexed citations
15.
Chargari, Cyrus, Robert‐Alain Toillon, Dhara MacDermed, Pierre Castadot, & Nicolas Magné. (2008). Concurrent hormone and radiation therapy in patients with breast cancer: what is the rationale?. The Lancet Oncology. 10(1). 53–60. 36 indexed citations
16.
MacDermed, Dhara, et al.. (2004). Extranodal nonorbital indolent lymphomas of the head and neck: relationship between tumor control and radiotherapy. International Journal of Radiation Oncology*Biology*Physics. 59(3). 788–795. 21 indexed citations
17.
Wouters, Bradly G., James Evans, Geoffrey W. Birrell, et al.. (2001). Mitochondrial dysfunction after aerobic exposure to the hypoxic cytotoxin tirapazamine.. PubMed. 61(1). 145–52. 26 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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