Bryan Langholz

9.4k citations
140 papers · 6.7k indexed · h-index 43

Impact in

    • Statistical Methods and Inference
    • Statistical Methods and Bayesian Inference
    • Advanced Causal Inference Techniques
    • Breast Cancer Treatment Studies

Papers in

Bryan Langholz

139 papers receiving 6.3k citations

Peers

Bryan Langholz
Comparison fields: 5 of 179
  • Statistics and Probability 997
  • Cancer Research 1.2k
  • Obstetrics and Gynecology 450
  • Health, Toxicology and Mutagenesis 696
  • Oncology 1.2k
Replace Timo Hakulinen with:
Timo Hakulinen Finland
Jacques Bénichou France
Thomas M. Mack United States
Alice S. Whittemore United States
Paul W. Dickman Sweden
Theodore Karrison United States
M. C. Pike United States
Allan Hackshaw United Kingdom
Ram C. Tiwari United States
David P. Byar United States
Bryan Langholz relative to Timo Hakulinen Finland Timo Hakulinen's profile →
Citations per field
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Timo Hakulinen · 1×
Citations per year

Countries citing papers authored by Bryan Langholz

Since Specialization
Citations

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

Fields of papers citing papers by Bryan Langholz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bryan Langholz. 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 Bryan Langholz. The network helps show where Bryan Langholz may publish in the future.

Co-authors

The 25 scholars most cited alongside Bryan Langholz, 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 Bryan Langholz Line = papers co-authored together Bryan Langholz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201642
2 201231
3 201118
4 201134
5 20089
6 2008187
7 2008244
8 200638
9 200127
10 200055
11
Statistical methods for epidemiologic studies of the health effects of air pollution.
199926
12 199931
13 199533
14 199413
15 199463
16 199217
17 19897
18 19896
19 198829
20 198719

About Bryan Langholz

Bryan Langholz is a scholar working on Statistics and Probability, Radiological and Ultrasound Technology, Health, Toxicology and Mutagenesis, Speech and Hearing and Cancer Research, having authored 140 papers that have together received 6.7k indexed citations. Recurring topics across this work include Statistical Methods and Inference (24 papers), Statistical Methods and Bayesian Inference (18 papers), Advanced Causal Inference Techniques (17 papers), BRCA gene mutations in cancer (11 papers), Ultrasound and Hyperthermia Applications (11 papers), Air Quality and Health Impacts (10 papers), Radiation Dose and Imaging (9 papers) and Cancer Risks and Factors (9 papers). The work is most often cited by research in Statistics and Probability (997 citations), Cancer Research (1.2k citations), Obstetrics and Gynecology (450 citations), Health, Toxicology and Mutagenesis (696 citations) and Oncology (1.2k citations). Bryan Langholz has collaborated with scholars based in United States, Canada and Denmark. Frequent co-authors include Duncan C. Thomas, Larry Goldstein, Ørnulf Borgan, N. E. Breslow, Muhammad T. Salam, Yufen Li, Frank D. Gilliland, P. Marek, Jay H. Lubin and Zbigniew Petrovich. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Biometrics, American Journal of Epidemiology, Journal of the American Statistical Association and Blood.

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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