Melissa A. Robb
Impact in
- Toxicology top 1%
- Pharmacovigilance and Adverse Drug Reactions
- Statistics and Probability top 1%
- Statistical Methods in Clinical Trials
- Advanced Causal Inference Techniques
Papers in
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- Pharmacovigilance and Adverse Drug Reactions 4
- Co-authors
- Rachel E. ShermanRobert M. CaliffGerald J. Dal PanJanet WoodcockThomas P. GrossRobert TempleLilly Q. YueJeffrey Shuren
- Journals
- Pharmacoepidemiology and Drug Safety (3 papers)New England Journal of Medicine (3 papers)Human Gene Therapy (1 paper)JAMA (1 paper)Clinical Pharmacology & Therapeutics (1 paper)
- Partner nations
- United StatesSwitzerlandThailand
In The Last Decade
Melissa A. Robb
12 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Toxicology 193
- Statistics and Probability 348
- Health Informatics 43
- Health Information Management 103
- Economics and Econometrics 555
Countries citing papers authored by Melissa A. Robb
This map shows the geographic impact of Melissa A. Robb'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 A. Robb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Melissa A. Robb more than expected).
Fields of papers citing papers by Melissa A. Robb
This network shows the impact of papers produced by Melissa A. Robb. 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 A. Robb. The network helps show where Melissa A. Robb may publish in the future.
Co-authors
The 25 scholars most cited alongside Melissa A. Robb, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 16 | |
| 2 | 2018 | 130 | |
| 3 | 2017 | 42 | |
| 4 | Real-World Evidence — What Is It and What Can It Tell Us? Hit paper breakdown → | 2016 | 1309 |
| 5 | 2016 | 108 | |
| 6 | 2015 | 168 | |
| 7 | 2013 | 95 | |
| 8 | 2013 | 6 | |
| 9 | 2012 | 8 | |
| 10 | 2012 | 87 | |
| 11 | 2012 | 46 | |
| 12 | 2012 | 225 |
About Melissa A. Robb
Melissa A. Robb is a scholar working on Toxicology, Medical Laboratory Technology, Statistics and Probability, Physiology and Economics and Econometrics, having authored 12 papers that have together received 2.2k indexed citations. Recurring topics across this work include Biomedical Ethics and Regulation (7 papers), Health Systems, Economic Evaluations, Quality of Life (6 papers), Pharmacovigilance and Adverse Drug Reactions (4 papers), Ethics in Clinical Research (3 papers), Pharmaceutical Economics and Policy (3 papers), Statistical Methods in Clinical Trials (3 papers), Pharmaceutical studies and practices (3 papers) and Healthcare cost, quality, practices (2 papers). The work is most often cited by research in Toxicology (193 citations), Statistics and Probability (348 citations), Health Informatics (43 citations), Health Information Management (103 citations) and Economics and Econometrics (555 citations). Melissa A. Robb has collaborated with scholars based in United States, Switzerland and Thailand. Frequent co-authors include Rachel E. Sherman, Robert M. Califf, Gerald J. Dal Pan, Janet Woodcock, Thomas P. Gross, Robert Temple, Lilly Q. Yue, Jeffrey Shuren, Lisa M. LaVange and Danica Marinac‐Dabic. Their work appears in journals such as Pharmacoepidemiology and Drug Safety, New England Journal of Medicine, Human Gene Therapy, JAMA and Clinical Pharmacology & Therapeutics.
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.