Jennifer Proper

941 total citations
8 papers, 72 citations indexed

About

Jennifer Proper is a scholar working on Emergency Medicine, Statistics and Probability and Surgery. According to data from OpenAlex, Jennifer Proper has authored 8 papers receiving a total of 72 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Emergency Medicine, 3 papers in Statistics and Probability and 2 papers in Surgery. Recurrent topics in Jennifer Proper's work include Statistical Methods in Clinical Trials (3 papers), Cardiac, Anesthesia and Surgical Outcomes (2 papers) and Statistical Methods and Bayesian Inference (2 papers). Jennifer Proper is often cited by papers focused on Statistical Methods in Clinical Trials (3 papers), Cardiac, Anesthesia and Surgical Outcomes (2 papers) and Statistical Methods and Bayesian Inference (2 papers). Jennifer Proper collaborates with scholars based in United States, Greece and United Kingdom. Jennifer Proper's co-authors include Jeffrey G. Chipman, Nicholas E. Ingraham, Christopher J. Tignanelli, Emily Zolfaghari, Lianne Siegel, Michael Usher, Genevieve B. Melton, Basil S. Karam, Bradley Benson and Thomas A. Murray and has published in prestigious journals such as PLoS ONE, Biometrics and Clinical Trials.

In The Last Decade

Jennifer Proper

8 papers receiving 72 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Jennifer Proper United States	3	25	19	18	15	13	8	72
Dechang Chen China	4	34 1.4×	29 1.5×	22 1.2×	11 0.7×	19 1.5×	4	95
Alireza Pouramini Iran	6	21 0.8×	13 0.7×	22 1.2×	12 0.8×	17 1.3×	23	87
Chelsea Nichols United States	5	24 1.0×	13 0.7×	20 1.1×	9 0.6×	6 0.5×	17	81
Sahai Donaldson United States	6	22 0.9×	20 1.1×	12 0.7×	15 1.0×	13 1.0×	15	68
Matthieu Turpin France	5	34 1.4×	17 0.9×	10 0.6×	14 0.9×	13 1.0×	14	85
Edoardo Pancaldi Italy	6	58 2.3×	16 0.8×	15 0.8×	22 1.5×	39 3.0×	12	148
Hélène Gros France	5	41 1.6×	19 1.0×	18 1.0×	19 1.3×	11 0.8×	9	106
Carolin Jakob Germany	6	34 1.4×	15 0.8×	9 0.5×	27 1.8×	24 1.8×	15	87
María Yllescas Spain	3	37 1.5×	29 1.5×	13 0.7×	17 1.1×	14 1.1×	6	70
M. Paoloni Italy	4	61 2.4×	26 1.4×	7 0.4×	12 0.8×	28 2.2×	6	94

Countries citing papers authored by Jennifer Proper

Since Specialization

Citations

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

Fields of papers citing papers by Jennifer Proper

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Proper

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

All Works

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8 of 8 papers shown

1.

King, Samantha, Jennifer Proper, Lianne Siegel, et al.. (2024). Acute Appendicitis Treatment Strategies and Mortality Based on Critical Illness on Admission: An Observational Study. Surgical Infections. 25(1). 56–62. 1 indexed citations

2.

Proper, Jennifer, et al.. (2023). Patient Outcomes and Unit Composition With Transition to a High-Intensity ICU Staffing Model: A Before-and-After Study. Critical Care Explorations. 5(2). e0864–e0864. 1 indexed citations

3.

Proper, Jennifer, et al.. (2023). Predicting Probability of Success for Phase III Trials via Propensity-Score-Based External Data Borrowing. Statistics in Biopharmaceutical Research. 16(3). 348–360. 1 indexed citations

4.

Proper, Jennifer & Thomas A. Murray. (2022). An Alternative Metric for Evaluating the Potential Patient Benefit of Response-Adaptive Randomization Procedures. Biometrics. 79(2). 1433–1445. 1 indexed citations

5.

Lusczek, Elizabeth R., Nicholas E. Ingraham, Basil S. Karam, et al.. (2021). Characterizing COVID-19 clinical phenotypes and associated comorbidities and complication profiles. PLoS ONE. 16(3). e0248956–e0248956. 36 indexed citations

6.

Ingraham, Nicholas E., Samantha King, Jennifer Proper, et al.. (2021). Morbidity and Mortality Trends of Pancreatitis: An Observational Study. Surgical Infections. 22(10). 1021–1030. 18 indexed citations

7.

Wendt, Chris H., Jennifer Proper, Sarah Pett, et al.. (2021). Metabolite profiles associated with disease progression in influenza infection. PLoS ONE. 16(4). e0247493–e0247493. 12 indexed citations

8.

Proper, Jennifer, John E. Connett, & Thomas A. Murray. (2021). Alternative models and randomization techniques for Bayesian response-adaptive randomization with binary outcomes. Clinical Trials. 18(4). 417–426. 2 indexed citations

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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