Melissa D. Curtis

543 citations
8 papers · 427 indexed · h-index 6
Topics
Cancer Immunotherapy and Biomarkers (3 papers)Pancreatic and Hepatic Oncology Research (2 papers)Economic and Financial Impacts of Cancer (2 papers)
Partner nations
United States

In The Last Decade

Melissa D. Curtis

8 papers receiving 421 citations

Peers

Melissa D. Curtis
Comparison fields: 5 of 62
  • Oncology 258
  • Pulmonary and Respiratory Medicine 217
  • Cancer Research 78
  • Economics and Econometrics 68
  • Statistics and Probability 49
Replace Melisa Tucker with:
Melisa Tucker United States
Paul You United States
Aracelis Z. Torres United States
Nathan C. Nussbaum United States
Ray Lin United States
Emmanuelle Kempf France
Janet L. Espirito United States
Brandon Arnieri United States
Abhishek Kumar United States
Tiago M. de Carvalho Netherlands
Melissa D. Curtis relative to Melisa Tucker United States Melisa Tucker's profile →
Citations per field
00.5×1.5×
Melisa Tucker · 1×
Citations per year

Countries citing papers authored by Melissa D. Curtis

Since Specialization
Citations

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

Fields of papers citing papers by Melissa D. Curtis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Melissa D. Curtis

This figure shows the co-authorship network connecting the top 25 collaborators of Melissa D. Curtis. A scholar is included among the top collaborators of Melissa D. Curtis 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 Melissa D. Curtis. Melissa D. Curtis 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
#WorkIndexed citations
1 10
2 19
3 1
4 58
5 86
6 166
7 5
8 82

About Melissa D. Curtis

Melissa D. Curtis is a scholar working on Statistics and Probability, Modeling and Simulation and Health Information Management, having authored 8 papers that have together received 427 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (3 papers), Pancreatic and Hepatic Oncology Research (2 papers) and Economic and Financial Impacts of Cancer (2 papers). The work is most often cited by research in Oncology (258 citations), Pulmonary and Respiratory Medicine (217 citations) and Statistics and Probability (49 citations). Melissa D. Curtis has collaborated with scholars based in United States. Frequent co-authors include Amy P. Abernethy, Melisa Tucker, Aracelis Z. Torres, William B. Capra, James Harnett, Marc L. Berger, Sandra D. Griffith, Brandon Arnieri, Gillis Carrigan and Michael D. Taylor. Their work appears in journals such as Journal of Clinical Oncology, Clinical Pharmacology & Therapeutics and The Oncologist.

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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