Barbra A. Dickerman

46 papers receiving 1.4k citations

Barbra A. Dickerman's Hit Papers

The Target Trial Framework for Causal Inference From Observational Data: Why and When Is It Helpful? 2025 · 23 citations
230Years since publication5101520

Peers

Barbra A. Dickerman
Comparison fields: 5 of 136
  • Biological Psychiatry 48
  • Statistics and Probability 144
  • Endocrine and Autonomic Systems 73
  • Infectious Diseases 179
  • Health 78
Replace Varghese George with:
Varghese George United States
Amy M. Mason United Kingdom
Krista Fischer Estonia
Shiu Lun Au Yeung Hong Kong
Luisa Zuccolo United Kingdom
James D. Neaton United States
Christina M. Parrinello United States
Victoria Higgins Canada
Zhongshang Yuan China
Christy L. Avery United States
Barbra A. Dickerman relative to Varghese George United States Varghese George's profile →
Citations per field
00.5×2.5×
Varghese George · 1×
Citations per year

Countries citing papers authored by Barbra A. Dickerman

Since Specialization
Citations

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

Fields of papers citing papers by Barbra A. Dickerman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Barbra A. Dickerman. 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 Barbra A. Dickerman. The network helps show where Barbra A. Dickerman may publish in the future.

Co-authors

The 25 scholars most cited alongside Barbra A. Dickerman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Barbra A. Dickerman Line = papers co-authored together Barbra A. Dickerman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018223
2 2019191
3 2021150
4 201683
5 201748
6 202040
7 202039
8 201938
9 201338
10 202137
11 201636
12 201933
13 201830
14 201125
15 202324
16
The Target Trial Framework for Causal Inference From Observational Data: Why and When Is It Helpful?
Hit paper breakdown →
202523
17 201822
18 201822
19 202321
20 202220

About Barbra A. Dickerman

Barbra A. Dickerman is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Epidemiology, Statistics and Probability and Cancer Research, having authored 46 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cancer, Lipids, and Metabolism (7 papers), Prostate Cancer Treatment and Research (7 papers), Advanced Causal Inference Techniques (7 papers), Prostate Cancer Diagnosis and Treatment (6 papers), Liver Disease Diagnosis and Treatment (6 papers), Health Systems, Economic Evaluations, Quality of Life (4 papers), Obesity, Physical Activity, Diet (4 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). The work is most often cited by research in Biological Psychiatry (48 citations), Statistics and Probability (144 citations), Endocrine and Autonomic Systems (73 citations), Infectious Diseases (179 citations) and Health (78 citations). Barbra A. Dickerman has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Miguel A. Hernán, Jianghong Liu, Jessica Wang, Phoebe Um, Roger Logan, Xabier García‐Albéniz, Spiros Denaxas, Lorelei A. Mucci, Sarah C. Markt and Edward L. Giovannucci. Their work appears in journals such as Epidemiology, JNCI Journal of the National Cancer Institute, Preventive Medicine, International Journal of Cancer and American Journal of Epidemiology.

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.

Explore authors with similar magnitude of impact