Jennifer Hadlock

3.0k total citations
21 papers, 243 citations indexed

About

Jennifer Hadlock is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health and Physiology. According to data from OpenAlex, Jennifer Hadlock has authored 21 papers receiving a total of 243 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Infectious Diseases, 5 papers in Public Health, Environmental and Occupational Health and 5 papers in Physiology. Recurrent topics in Jennifer Hadlock's work include COVID-19 Clinical Research Studies (5 papers), COVID-19 and healthcare impacts (4 papers) and COVID-19 Impact on Reproduction (4 papers). Jennifer Hadlock is often cited by papers focused on COVID-19 Clinical Research Studies (5 papers), COVID-19 and healthcare impacts (4 papers) and COVID-19 Impact on Reproduction (4 papers). Jennifer Hadlock collaborates with scholars based in United States, Russia and Poland. Jennifer Hadlock's co-authors include Nathan D. Price, Leroy Hood, Ryan Roper, Andrew T. Magis, Noa Rappaport, Jason D. Goldman, Christian Diener, Tomasz Wilmanski, Sean M. Gibbons and John C. Earls and has published in prestigious journals such as Nature Medicine, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Jennifer Hadlock

19 papers receiving 237 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jennifer Hadlock United States 7 69 39 37 37 35 21 243
Andrea Pistillo Spain 10 96 1.4× 53 1.4× 21 0.6× 22 0.6× 38 1.1× 21 325
Patrícia Médici Dualib Brazil 8 159 2.3× 51 1.3× 39 1.1× 58 1.6× 26 0.7× 23 352
Caizheng Yu China 9 114 1.7× 46 1.2× 15 0.4× 32 0.9× 52 1.5× 17 335
Kyeongmin Lee South Korea 11 41 0.6× 104 2.7× 42 1.1× 41 1.1× 88 2.5× 49 377
Linong Ji China 9 70 1.0× 44 1.1× 43 1.2× 8 0.2× 40 1.1× 23 390
Yasmin M. Madney Egypt 11 81 1.2× 13 0.3× 14 0.4× 17 0.5× 23 0.7× 31 337
Hülya Parıldar Türkiye 11 82 1.2× 29 0.7× 10 0.3× 25 0.7× 20 0.6× 20 311
Vishwanath Pattan United States 10 70 1.0× 43 1.1× 39 1.1× 7 0.2× 19 0.5× 32 302
Dongmei Hu China 11 113 1.6× 27 0.7× 50 1.4× 13 0.4× 79 2.3× 28 402
Efstathia Polychronopoulou United States 9 68 1.0× 43 1.1× 13 0.4× 14 0.4× 37 1.1× 32 242

Countries citing papers authored by Jennifer Hadlock

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Hadlock

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Hadlock

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer Hadlock. A scholar is included among the top collaborators of Jennifer Hadlock 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 Hadlock. Jennifer Hadlock 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
1.
Robinson, Max, Nilüfer Ertekin‐Taner, Todd E. Golde, et al.. (2025). Fokker-Planck diffusion maps of microglial transcriptomes reveal radial differentiation into substates associated with Alzheimer’s pathology. Communications Biology. 8(1). 279–279. 1 indexed citations
2.
Gratzl, Samuel, Ahmad Algohary, Hao Lin, et al.. (2025). XComposition: multimodal deep learning model to measure body composition using chest radiographs and clinical data. PubMed. 2(5). umaf035–umaf035. 1 indexed citations
3.
Watanabe, Kengo, Tomasz Wilmanski, Michael S. Lustgarten, et al.. (2025). APOE genotype and biological age impact inter-omic associations related to bioenergetics. Aging. 17(5). 1105–1138.
4.
5.
Hadlock, Jennifer, et al.. (2024). Using Large Language Models to Abstract Complex Social Determinants of Health From Original and Deidentified Medical Notes: Development and Validation Study. Journal of Medical Internet Research. 26. e63445–e63445. 5 indexed citations
6.
7.
Chang, Shu‐Ching, Gary L. Grunkemeier, Jason D. Goldman, et al.. (2024). A simplified pneumonia severity index (PSI) for clinical outcome prediction in COVID-19. PLoS ONE. 19(5). e0303899–e0303899. 1 indexed citations
8.
Diener, Christian, Tomasz Wilmanski, David L. Suskind, et al.. (2024). Aberrant bowel movement frequencies coincide with increased microbe-derived blood metabolites associated with reduced organ function. Cell Reports Medicine. 5(7). 101646–101646. 6 indexed citations
9.
Roper, Ryan, Daniel A. Enquobahrie, Alison G. Paquette, et al.. (2024). Timing of selective serotonin reuptake inhibitor use and risk for preterm birth and related adverse events: with a consideration of the COVID-19 pandemic period. The Journal of Maternal-Fetal & Neonatal Medicine. 37(1). 2313364–2313364. 3 indexed citations
10.
Hood, Leroy, et al.. (2023). Adoption of a National Prophylactic Anticoagulation Guideline for Hospitalized Pregnant Women With COVID-19: Retrospective Cohort Study. JMIR Public Health and Surveillance. 9. e45586–e45586. 1 indexed citations
11.
Watanabe, Kengo, Tomasz Wilmanski, Christian Diener, et al.. (2023). Multiomic signatures of body mass index identify heterogeneous health phenotypes and responses to a lifestyle intervention. Nature Medicine. 29(4). 996–1008. 71 indexed citations
12.
Roper, Ryan, et al.. (2023). Effect of COVID-19 vaccination and booster on maternal–fetal outcomes: a retrospective cohort study. The Lancet Digital Health. 5(9). e594–e606. 23 indexed citations
13.
Roper, Ryan, Venkata R. Duvvuri, Jason D. Goldman, et al.. (2022). Risk factors for severe COVID-19 differ by age for hospitalized adults. Scientific Reports. 12(1). 6568–6568. 37 indexed citations
14.
Price, Nathan D., et al.. (2022). The impact of maternal SARS-CoV-2 infection and COVID-19 vaccination on maternal-fetal outcomes. Reproductive Toxicology. 114. 33–43. 11 indexed citations
15.
Roper, Ryan, et al.. (2022). The Effect of COVID-19 Vaccination and Booster on Maternal-Fetal Outcomes. SSRN Electronic Journal. 1 indexed citations
16.
Duvvuri, Venkata R., Dan Yuan, Ryan Roper, et al.. (2022). Angiotensin-Converting Enzyme (ACE) Inhibitors May Moderate COVID-19 Hyperinflammatory Response: An Observational Study with Deep Immunophenotyping. SHILAP Revista de lepidopterología. 2022. 6 indexed citations
17.
Fang, Chen, et al.. (2021). Ambulatory Risk Models for the Long-Term Prevention of Sepsis: Retrospective Study. JMIR Medical Informatics. 9(7). e29986–e29986. 1 indexed citations
18.
Dai, Chengzhen L., Sergey A. Kornilov, Ryan Roper, et al.. (2021). Characteristics and Factors Associated With Coronavirus Disease 2019 Infection, Hospitalization, and Mortality Across Race and Ethnicity. Clinical Infectious Diseases. 73(12). 2193–2204. 39 indexed citations
19.
Fecho, Karamarie, Stanley C. Ahalt, Saravanan Arunachalam, et al.. (2019). Sex, obesity, diabetes, and exposure to particulate matter among patients with severe asthma: Scientific insights from a comparative analysis of open clinical data sources during a five-day hackathon. Journal of Biomedical Informatics. 100. 103325–103325. 13 indexed citations
20.
Ahalt, Stanley C., Christopher G. Chute, Karamarie Fecho, et al.. (2019). Clinical Data: Sources and Types, Regulatory Constraints, Applications. Clinical and Translational Science. 12(4). 329–333. 15 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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