Jonathan S. Schildcrout

6.5k total citations
131 papers, 4.1k citations indexed

About

Jonathan S. Schildcrout is a scholar working on Statistics and Probability, General Health Professions and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Jonathan S. Schildcrout has authored 131 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Statistics and Probability, 25 papers in General Health Professions and 24 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Jonathan S. Schildcrout's work include Statistical Methods and Bayesian Inference (22 papers), Advanced Causal Inference Techniques (18 papers) and Statistical Methods and Inference (14 papers). Jonathan S. Schildcrout is often cited by papers focused on Statistical Methods and Bayesian Inference (22 papers), Advanced Causal Inference Techniques (18 papers) and Statistical Methods and Inference (14 papers). Jonathan S. Schildcrout collaborates with scholars based in United States, United Kingdom and Canada. Jonathan S. Schildcrout's co-authors include Josh F. Peterson, Nathaniel D. Mercaldo, Joshua C. Denny, Lianne Sheppard, Yaping Shi, Sunil Kripalani, Joel D. Kaufman, Jill M. Pulley, Jane Q. Koenig and Gail G. Shapiro and has published in prestigious journals such as Nature, JAMA and Circulation.

In The Last Decade

Jonathan S. Schildcrout

123 papers receiving 4.0k citations

Peers

Jonathan S. Schildcrout
Comparison fields: 5 of 183
  • Cardiology and Cardiovascular Medicine 769
  • General Health Professions 601
  • Surgery 588
  • Health, Toxicology and Mutagenesis 564
  • Nephrology 465
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Citations per field, relative to Jonathan S. Schildcrout
Jonathan S. Schildcrout · 1×
Citations per year, relative to Jonathan S. Schildcrout
Jonathan S. Schildcrout · 1×

Countries citing papers authored by Jonathan S. Schildcrout

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan S. Schildcrout

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan S. Schildcrout. 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 Jonathan S. Schildcrout. The network helps show where Jonathan S. Schildcrout may publish in the future.

Co-authorship network of co-authors of Jonathan S. Schildcrout

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan S. Schildcrout. A scholar is included among the top collaborators of Jonathan S. Schildcrout 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 Jonathan S. Schildcrout. Jonathan S. Schildcrout is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 9
2 1
3 0
4 2
5 1
6 3
7 3
8 2
9 2
10 1
11 6
12 22
13 13
14
Extracting Drug Exposure Epochs and Drug Response Outcomes from Electronic Health Records.
0
15 53
16 17
17 20
18
Abstract 2684: Modulators of Normal ECG Intervals Identified in a large Electronic Medical Record
1
19 26
20 194

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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