Virginia E. Kwitkowski

19 papers receiving 1.8k citations

Virginia E. Kwitkowski's Hit Papers

FDA Approval: Belinostat for the Treatment of Patients with Relapsed or Refractory Peripheral T-cell Lymphoma 2015 · 306 citations
3060+3+7Years since publication100200300

Peers

Virginia E. Kwitkowski
Comparison fields: 5 of 92
  • Reproductive Medicine 208
  • Oncology 386
  • Statistics and Probability 103
  • Molecular Biology 470
  • Genetics 63
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Lindsey A. Gumbrell United Kingdom
Geoffrey Kim United States
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Vasilios Karavasilis Greece
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Citations per year

Countries citing papers authored by Virginia E. Kwitkowski

Since Specialization
Citations

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

Fields of papers citing papers by Virginia E. Kwitkowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Virginia E. Kwitkowski. 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 Virginia E. Kwitkowski. The network helps show where Virginia E. Kwitkowski may publish in the future.

Co-authors

The 25 scholars most cited alongside Virginia E. Kwitkowski, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Virginia E. Kwitkowski Line = papers co-authored together Virginia E. Kwitkowski links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1
FDA Approval: Belinostat for the Treatment of Patients with Relapsed or Refractory Peripheral T-cell Lymphoma
Hit paper breakdown →
2015306
2 2008279
3 2016274
4 2010224
5 2012187
6 2007119
7 2012114
8 201386
9 201861
10 200757
11 201436
12 201634
13 202034
14 201324
15 201724
16 202019
17 201714
18
Infectious disease emergencies in primary care.
19998
19 20041

About Virginia E. Kwitkowski

Virginia E. Kwitkowski is a scholar working on Hematology, Oncology, Genetics, Reproductive Medicine and Statistics and Probability, having authored 19 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cancer survivorship and care (4 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Ovarian cancer diagnosis and treatment (2 papers), Lymphoma Diagnosis and Treatment (2 papers), Statistical Methods in Clinical Trials (2 papers), Streptococcal Infections and Treatments (1 paper), Chronic Lymphocytic Leukemia Research (1 paper) and Sepsis Diagnosis and Treatment (1 paper). The work is most often cited by research in Reproductive Medicine (208 citations), Oncology (386 citations), Statistics and Probability (103 citations), Molecular Biology (470 citations) and Genetics (63 citations). Virginia E. Kwitkowski has collaborated with scholars based in United States. Frequent co-authors include Richard Pazdur, Ann T. Farrell, Rajeshwari Sridhara, Robert L. Justice, Lori M. Minasian, Seth M. Steinberg, Edwin M. Posadas, Elise C. Kohn, Elektra J. Papadopoulos and Paul Gustav Kluetz. Their work appears in journals such as Clinical Cancer Research, The Oncologist, Cancer, Journal of Clinical Oncology and Pediatric Blood & Cancer.

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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