Bryan Langholz

9.4k citations
140 papers · 6.7k · 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 6.4k citations

Peers

Bryan Langholz
Comparison fields: 5 of 173
  • Statistics and Probability 924
  • Cancer Research 899
  • Obstetrics and Gynecology 390
  • Health, Toxicology and Mutagenesis 513
  • Oncology 858
Replace Norman E. Breslow with:
Norman E. Breslow United States
Timo Hakulinen Finland
Jacques Bénichou France
Alice S. Whittemore United States
M. C. Pike United States
Paul W. Dickman Sweden
Thomas M. Mack United States
Ram C. Tiwari United States
Matthieu Resche‐Rigon France
David P. Byar United States
Bryan Langholz relative to Norman E. Breslow United States Norman E. Breslow's profile →
Citations per field
00.5×2.6×
Norman E. Breslow · 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

Showing the 20 most-cited of 140 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1983455
2 2006374
3 2005252
4 2008248
5 2000207
6 2010187
7 2008187
8 2003168
9 2015167
10 1992161
11 1996151
12 1995142
13 1992140
14 1983121
15 1990121
16 1995112
17 1990109
18 2006108
19 1993107
20 1992100

About Bryan Langholz

Bryan Langholz is a scholar working on Statistics and Probability, Pulmonary and Respiratory Medicine, Genetics, Oncology and Public Health, Environmental and Occupational Health, having authored 140 papers that have together received 6.7k indexed citations. Recurring topics across this work include Statistical Methods and Inference (23 papers), Statistical Methods and Bayesian Inference (18 papers), Advanced Causal Inference Techniques (17 papers), Ultrasound and Hyperthermia Applications (11 papers), Air Quality and Health Impacts (9 papers), Radioactivity and Radon Measurements (9 papers), Genetic Associations and Epidemiology (8 papers) and BRCA gene mutations in cancer (8 papers). The work is most often cited by research in Statistics and Probability (924 citations), Cancer Research (899 citations), Obstetrics and Gynecology (390 citations), Health, Toxicology and Mutagenesis (513 citations) and Oncology (858 citations). Bryan Langholz has collaborated with scholars based in United States, Denmark and Canada. Frequent co-authors include Larry Goldstein, Duncan C. Thomas, Ørnulf Borgan, N. E. Breslow, Frank D. Gilliland, Yufen Li, Muhammad T. Salam, Jay H. Lubin, P. Marek and Zbigniew Petrovich. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, American Journal of Epidemiology, Biometrics, Blood and Environmental Health Perspectives.

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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