Mary S. Campbell
- Oncology top 5%
- Surgery top 5%
- Infectious Diseases top 5%
- Virology top 2%
- Epidemiology top 10%
- Co-authors
- Jonathan E. RosenbergDaniel P. PetrylakYohann LoriotJae‐Lyun LeeChunzhang WuMaria MatsangouNobuaki MatsubaraThomas Powles
- Topics
- HIV Research and Treatment (11 papers)Bladder and Urothelial Cancer Treatments (11 papers)HIV/AIDS Research and Interventions (10 papers)
- Cited by
- VirologyInfectious DiseasesOncology
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Mary S. Campbell
39 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Oncology 752
- Surgery 742
- Infectious Diseases 542
- Virology 328
- Epidemiology 312
Countries citing papers authored by Mary S. Campbell
This map shows the geographic impact of Mary S. Campbell'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 Mary S. Campbell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mary S. Campbell more than expected).
Fields of papers citing papers by Mary S. Campbell
This network shows the impact of papers produced by Mary S. Campbell. 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 Mary S. Campbell. The network helps show where Mary S. Campbell may publish in the future.
Co-authorship network of co-authors of Mary S. Campbell
This figure shows the co-authorship network connecting the top 25 collaborators of Mary S. Campbell. A scholar is included among the top collaborators of Mary S. Campbell 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 Mary S. Campbell. Mary S. Campbell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 20 | |
| 2 | 6 | |
| 3 | Enfortumab vedotin after PD-1 or PD-L1 inhibitors in cisplatin-ineligible patients with advanced urothelial carcinoma (EV‑201): a multicentre, single-arm, phase 2 trialbreakdown → | 175 |
| 4 | 1 | |
| 5 | Enfortumab Vedotin in Previously Treated Advanced Urothelial Carcinomabreakdown → | 670 |
| 6 | 10 | |
| 7 | 9 | |
| 8 | 230 | |
| 9 | 21 | |
| 10 | 10 | |
| 11 | 34 | |
| 12 | 16 | |
| 13 | 20 | |
| 14 | 66 | |
| 15 | 137 | |
| 16 | 44 | |
| 17 | 35 | |
| 18 | 4 | |
| 19 | 58 | |
| 20 | 17 |
About Mary S. Campbell
Mary S. Campbell is a scholar working on Virology, Infectious Diseases and Hematology, having authored 39 papers that have together received 2.2k indexed citations. Recurring topics across this work include HIV Research and Treatment (11 papers), Bladder and Urothelial Cancer Treatments (11 papers) and HIV/AIDS Research and Interventions (10 papers). The work is most often cited by research in Virology (328 citations), Infectious Diseases (542 citations) and Oncology (752 citations). Mary S. Campbell has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Jonathan E. Rosenberg, Daniel P. Petrylak, Yohann Loriot, Jae‐Lyun Lee, Chunzhang Wu, Maria Matsangou, Nobuaki Matsubara, Thomas Powles, Christof Vulsteke and Guru Sonpavde. Their work appears in journals such as New England Journal of Medicine, Journal of Clinical Oncology and Blood.
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.