Daniel L. Gillen
- Health, Toxicology and Mutagenesis top 2%
- Global and Planetary Change top 10%
- Statistics and Probability top 2%
- Pulmonary and Respiratory Medicine
- Pollution top 10%
- Co-authors
- Scott S. EmersonHal S. SternSean S. BrummelMichael LipsettBart OstroJun WuThomas TjoaArthur Winer
- Topics
- Health Systems, Economic Evaluations, Quality of Life (18 papers)Statistical Methods in Clinical Trials (18 papers)Advanced Causal Inference Techniques (16 papers)
- Partner nations
- United StatesSaudi ArabiaFrance
In The Last Decade
Daniel L. Gillen
41 papers receiving 888 citations
Peers
Comparison fields: 5 of 110
- Health, Toxicology and Mutagenesis 437
- Global and Planetary Change 175
- Statistics and Probability 165
- Pulmonary and Respiratory Medicine 110
- Pollution 105
Countries citing papers authored by Daniel L. Gillen
This map shows the geographic impact of Daniel L. Gillen'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 Daniel L. Gillen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel L. Gillen more than expected).
Fields of papers citing papers by Daniel L. Gillen
This network shows the impact of papers produced by Daniel L. Gillen. 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 Daniel L. Gillen. The network helps show where Daniel L. Gillen may publish in the future.
Co-authorship network of co-authors of Daniel L. Gillen
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel L. Gillen. A scholar is included among the top collaborators of Daniel L. Gillen 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 Daniel L. Gillen. Daniel L. Gillen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 7 | |
| 3 | 6 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 6 | |
| 7 | 4 | |
| 8 | 2 | |
| 9 | 8 | |
| 10 | 16 | |
| 11 | 66 | |
| 12 | 10 | |
| 13 | 3 | |
| 14 | 359 | |
| 15 | 47 | |
| 16 | 2 | |
| 17 | 22 | |
| 18 | 5 | |
| 19 | 16 | |
| 20 | 81 |
About Daniel L. Gillen
Daniel L. Gillen is a scholar working on Statistics and Probability, Economics and Econometrics and Health, Toxicology and Mutagenesis, having authored 46 papers that have together received 915 indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (18 papers), Statistical Methods in Clinical Trials (18 papers) and Advanced Causal Inference Techniques (16 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (437 citations), Statistics and Probability (165 citations) and Emergency Medical Services (88 citations). Daniel L. Gillen has collaborated with scholars based in United States, Saudi Arabia and France. Frequent co-authors include Scott S. Emerson, Hal S. Stern, Sean S. Brummel, Michael Lipsett, Bart Ostro, Jun Wu, Thomas Tjoa, Arthur Winer, R J Delfino and Donald Street. Their work appears in journals such as Biometrics, Kidney International and Statistics in Medicine.
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.