Mark D. Sborov

525 total citations
8 papers, 254 citations indexed

About

Mark D. Sborov is a scholar working on Oncology, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Mark D. Sborov has authored 8 papers receiving a total of 254 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 3 papers in Pathology and Forensic Medicine and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Mark D. Sborov's work include Viral-associated cancers and disorders (2 papers), Chronic Lymphocytic Leukemia Research (2 papers) and Lymphoma Diagnosis and Treatment (2 papers). Mark D. Sborov is often cited by papers focused on Viral-associated cancers and disorders (2 papers), Chronic Lymphocytic Leukemia Research (2 papers) and Lymphoma Diagnosis and Treatment (2 papers). Mark D. Sborov collaborates with scholars based in United States, Canada and India. Mark D. Sborov's co-authors include Sabrina Martín, Thomas M. Habermann, Sandra J. Horning, Brad S. Kahl, Lynne I. Wagner, W. Christopher Ehmann, Fangxin Hong, Christopher G. Peterson, John C. Krauss and Stephen J. Schuster and has published in prestigious journals such as Journal of Clinical Oncology, Annals of Oncology and British Journal of Haematology.

In The Last Decade

Mark D. Sborov

8 papers receiving 250 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark D. Sborov United States 6 184 166 88 51 33 8 254
Natalia Colocci United States 7 171 0.9× 226 1.4× 128 1.5× 32 0.6× 26 0.8× 17 314
Lindsey Stevens United Kingdom 5 211 1.1× 286 1.7× 99 1.1× 42 0.8× 61 1.8× 15 328
M. Dreyling Germany 2 182 1.0× 246 1.5× 135 1.5× 41 0.8× 21 0.6× 4 278
Frank Kauff Germany 6 179 1.0× 244 1.5× 161 1.8× 31 0.6× 11 0.3× 8 273
Viola Pöschel Germany 7 186 1.0× 235 1.4× 75 0.9× 32 0.6× 18 0.5× 8 293
Emanuela Anna Pesce Italy 6 169 0.9× 257 1.5× 66 0.8× 29 0.6× 25 0.8× 12 287
T Anderson United States 7 156 0.8× 124 0.7× 60 0.7× 29 0.6× 7 0.2× 8 243
Pär Josefsson Denmark 10 124 0.7× 252 1.5× 179 2.0× 44 0.9× 7 0.2× 18 369
John C. Byrd United States 4 182 1.0× 251 1.5× 106 1.2× 54 1.1× 8 0.2× 4 288
Armando López‐Guillermo Spain 7 121 0.7× 307 1.8× 247 2.8× 28 0.5× 23 0.7× 10 361

Countries citing papers authored by Mark D. Sborov

Since Specialization
Citations

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

Fields of papers citing papers by Mark D. Sborov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark D. Sborov. 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 Mark D. Sborov. The network helps show where Mark D. Sborov may publish in the future.

Co-authorship network of co-authors of Mark D. Sborov

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

All Works

8 of 8 papers shown
2.
Williams, Michael E., Fangxin Hong, Randy D. Gascoyne, et al.. (2016). Rituximab extended schedule or retreatment trial for low tumour burden non‐follicular indolent B‐cell non‐Hodgkin lymphomas: Eastern Cooperative Oncology Group Protocol E4402. British Journal of Haematology. 173(6). 867–875. 30 indexed citations
3.
Wakelee, Heather A., Suzanne E. Dahlberg, Steven M. Keller, et al.. (2016). E1505: Adjuvant chemotherapy +/- bevacizumab for early stage NSCLC—Outcomes based on chemotherapy subsets.. Journal of Clinical Oncology. 34(15_suppl). 8507–8507. 17 indexed citations
4.
Kahl, Brad S., Fangxin Hong, Michael E. Williams, et al.. (2014). Rituximab Extended Schedule or Re-Treatment Trial for Low–Tumor Burden Follicular Lymphoma: Eastern Cooperative Oncology Group Protocol E4402. Journal of Clinical Oncology. 32(28). 3096–3102. 138 indexed citations
5.
Schwartz, Rowena, et al.. (2012). Integration of survivorship care in community oncology practice.. Journal of Clinical Oncology. 30(34_suppl). 33–33. 4 indexed citations
6.
Stella, Philip J., Shauna L. Hillman, Kendrith M. Rowland, et al.. (2011). Exploring Therapeutic Decisions in Elderly Patients with Non-Small Cell Lung Cancer: Results and Conclusions from North Central Cancer Treatment Group Study N0222. Cancer Investigation. 29(4). 266–271. 4 indexed citations
7.
Jones, Stephen E., Christopher Stokoe, Mark D. Sborov, et al.. (2008). The Effect of Tamoxifen or Exemestane on Bone Mineral Density During the First 2 Years of Adjuvant Treatment of Postmenopausal Women with Early Breast Cancer. Clinical Breast Cancer. 8(6). 527–532. 20 indexed citations
8.
Richards, Donald, David McCollum, Lalan S. Wilfong, et al.. (2007). Phase II trial of docetaxel and oxaliplatin in patients with advanced gastric cancer and/or adenocarcinoma of the gastroesophageal junction. Annals of Oncology. 19(1). 104–108. 28 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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