Lori E. Dodd
- Oncology top 0.05%
- Pulmonary and Respiratory Medicine top 0.05%
- Hepatology top 0.2%
- Cancer Research top 0.2%
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- Statistical Methods in Clinical Trials 22
- Statistical Methods and Inference 9
- Advanced Causal Inference Techniques 6
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- Health Systems, Economic Evaluations, Quality of Life 10
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- Tuberculosis Research and Epidemiology 9
- Viral Infections and Outbreaks Research 8
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- Infectious Diseases and Tuberculosis 5
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- Mycobacterium research and diagnosis 4
- Co-authors
- Janet DanceyLarry RubinsteinLalitha ShankarLawrence H. SchwartzMargaret MooneyDaniel J. SargentP. TherasseRichard Kaplan
- Journals
- Clinical Trials (7 papers)Clinical Infectious Diseases (4 papers)European Journal of Cancer (4 papers)
- Partner nations
- United StatesSouth AfricaUnited Kingdom
In The Last Decade
Lori E. Dodd
71 papers receiving 23.9k citations
Hit Papers
Peers
Comparison fields: 5 of 178
- Oncology 11.4k
- Pulmonary and Respiratory Medicine 9.5k
- Hepatology 2.1k
- Cancer Research 3.6k
- Radiology, Nuclear Medicine and Imaging 4.4k
Countries citing papers authored by Lori E. Dodd
This map shows the geographic impact of Lori E. Dodd'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 Lori E. Dodd with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lori E. Dodd more than expected).
Fields of papers citing papers by Lori E. Dodd
This network shows the impact of papers produced by Lori E. Dodd. 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 Lori E. Dodd. The network helps show where Lori E. Dodd may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lori E. Dodd, 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 | 2021 | 11 | |
| 2 | A Randomized, Controlled Trial of Ebola Virus Disease Therapeuticsbreakdown → | 2019 | 993 |
| 3 | 2018 | 9 | |
| 4 | 2017 | 11 | |
| 5 | 2016 | 9 | |
| 6 | 2016 | 29 | |
| 7 | 2015 | 17 | |
| 8 | 2014 | 57 | |
| 9 | 2014 | 1 | |
| 10 | 2013 | 49 | |
| 11 | 2012 | 131 | |
| 12 | 2011 | 60 | |
| 13 | 2011 | 16 | |
| 14 | 2011 | 18 | |
| 15 | 2011 | 19 | |
| 16 | 2009 | 21 | |
| 17 | 2008 | 87 | |
| 18 | 2007 | 2 | |
| 19 | 2004 | 150 | |
| 20 | 2004 | 87 |
About Lori E. Dodd
Lori E. Dodd is a scholar working on Statistics and Probability, Virology and Infectious Diseases, having authored 72 papers that have together received 24.2k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (22 papers), Health Systems, Economic Evaluations, Quality of Life (10 papers), Tuberculosis Research and Epidemiology (9 papers), Statistical Methods and Inference (9 papers), Viral Infections and Outbreaks Research (8 papers), Advanced Causal Inference Techniques (6 papers), Infectious Diseases and Tuberculosis (5 papers) and Mycobacterium research and diagnosis (4 papers). The work is most often cited by research in Oncology (11.4k citations), Pulmonary and Respiratory Medicine (9.5k citations) and Hepatology (2.1k citations). Lori E. Dodd has collaborated with scholars based in United States, South Africa and United Kingdom. Frequent co-authors include Janet Dancey, Larry Rubinstein, Lalitha Shankar, Lawrence H. Schwartz, Margaret Mooney, Daniel J. Sargent, P. Therasse, Richard Kaplan, Stephen J. Gwyther and E. Eisenhauer. Their work appears in journals such as Clinical Trials, Clinical Infectious Diseases, European Journal of Cancer, Statistics in Medicine and Biometrics.
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.