Julia Coit

569 total citations
18 papers, 295 citations indexed

About

Julia Coit is a scholar working on Infectious Diseases, Epidemiology and Surgery. According to data from OpenAlex, Julia Coit has authored 18 papers receiving a total of 295 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Infectious Diseases, 14 papers in Epidemiology and 9 papers in Surgery. Recurrent topics in Julia Coit's work include Tuberculosis Research and Epidemiology (15 papers), Infectious Diseases and Tuberculosis (6 papers) and Mycobacterium research and diagnosis (6 papers). Julia Coit is often cited by papers focused on Tuberculosis Research and Epidemiology (15 papers), Infectious Diseases and Tuberculosis (6 papers) and Mycobacterium research and diagnosis (6 papers). Julia Coit collaborates with scholars based in United States, Peru and United Kingdom. Julia Coit's co-authors include Róger Calderón, Leonid Lecca, Molly F. Franke, Annelies W. Mesman, Geraint Davies, Carole D. Mitnick, Charles A. Peloquin, Epifanio Sánchez Garavito, Karen Tintaya and Judith Jiménez and has published in prestigious journals such as American Journal of Respiratory and Critical Care Medicine, Scientific Reports and The Journal of Infectious Diseases.

In The Last Decade

Julia Coit

16 papers receiving 293 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Julia Coit United States 9 248 185 106 23 17 18 295
Gina Maltas United States 8 329 1.3× 270 1.5× 134 1.3× 23 1.0× 28 1.6× 8 375
Julian te Riele South Africa 6 297 1.2× 231 1.2× 90 0.8× 15 0.7× 30 1.8× 7 338
Elize Pietersen South Africa 9 359 1.4× 288 1.6× 126 1.2× 15 0.7× 38 2.2× 13 430
Karen Tintaya Peru 7 157 0.6× 101 0.5× 38 0.4× 17 0.7× 12 0.7× 11 221
Liang Fu China 7 206 0.8× 154 0.8× 103 1.0× 15 0.7× 32 1.9× 18 342
Lindsay McKenna United States 10 191 0.8× 122 0.7× 83 0.8× 11 0.5× 16 0.9× 25 265
Yingda L. Xie United States 9 221 0.9× 138 0.7× 65 0.6× 57 2.5× 40 2.4× 22 348
Lloyd N. Friedman United States 8 249 1.0× 198 1.1× 118 1.1× 10 0.4× 15 0.9× 12 355
Eric Levesque France 10 147 0.6× 134 0.7× 35 0.3× 24 1.0× 12 0.7× 15 258
Gabriella Ferlazzo South Africa 13 388 1.6× 287 1.6× 112 1.1× 10 0.4× 44 2.6× 25 428

Countries citing papers authored by Julia Coit

Since Specialization
Citations

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

Fields of papers citing papers by Julia Coit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julia Coit

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

All Works

18 of 18 papers shown
1.
Platt, Georgina, Charles A. Peloquin, Julia Coit, et al.. (2025). Impact of Pharmacogenetics on Pharmacokinetics of First-Line Antituberculosis Drugs in the HIRIF Trial. The Journal of Infectious Diseases. 232(2). e258–e265.
2.
Chiang, Silvia S., et al.. (2023). Adolescent, caregiver and provider perspectives on tuberculosis treatment adherence: a qualitative study from Lima, Peru. BMJ Open. 13(5). e069938–e069938. 6 indexed citations
3.
Coit, Julia, et al.. (2022). Impact of prolonged isolation on adolescents with drug-susceptible tuberculosis in Lima, Peru: a qualitative study. BMJ Open. 12(9). e063287–e063287. 8 indexed citations
4.
Flores, Juan A., Julia Coit, Segundo R. León, et al.. (2021). Is exclusive breastfeeding for six-months protective against pediatric tuberculosis?. Global Health Action. 14(1). 1861922–1861922. 3 indexed citations
5.
Coit, Julia, et al.. (2021). Incident Tuberculosis Diagnoses in Children at High Risk for Disease. Open Forum Infectious Diseases. 8(3). ofab075–ofab075.
6.
Galea, Jerome T., Julia Coit, Lauren E. Friedman, et al.. (2020). The Use of Wearable Technology to Objectively Measure Sleep Quality and Physical Activity Among Pregnant Women in Urban Lima, Peru: A Pilot Feasibility Study. Maternal and Child Health Journal. 24(7). 823–828. 11 indexed citations
7.
Mesman, Annelies W., Róger Calderón, Nira R. Pollock, et al.. (2020). Molecular detection of Mycobacterium tuberculosis from buccal swabs among adult in Peru. Scientific Reports. 10(1). 22231–22231. 14 indexed citations
8.
Coit, Julia, Jerome T. Galea, Marco Tovar, et al.. (2020). Uncovering reasons for treatment initiation delays among children with TB in Lima, Peru. The International Journal of Tuberculosis and Lung Disease. 24(12). 1254–1260. 5 indexed citations
9.
Flores, Juan A., Róger Calderón, Annelies W. Mesman, et al.. (2020). Detection of Mycobacterium Tuberculosis DNA in Buccal Swab Samples from Children in Lima, Peru. The Pediatric Infectious Disease Journal. 39(11). e376–e380. 18 indexed citations
10.
Mesman, Annelies W., Julia Coit, Róger Calderón, et al.. (2019). Detection of Mycobacterium tuberculosis in pediatric stool samples using TruTip technology. BMC Infectious Diseases. 19(1). 563–563. 20 indexed citations
11.
Mesman, Annelies W., et al.. (2019). Mycobacterium tuberculosis detection from oral swabs with Xpert MTB/RIF ULTRA: a pilot study. BMC Research Notes. 12(1). 349–349. 36 indexed citations
12.
Mesman, Annelies W., Carly A. Rodriguez, Emily Ager, et al.. (2019). Diagnostic accuracy of molecular detection of Mycobacterium tuberculosis in pediatric stool samples: A systematic review and meta-analysis. Tuberculosis. 119. 101878–101878. 26 indexed citations
13.
Coit, Julia, et al.. (2019). Performance of a household tuberculosis exposure survey among children in a Latin American setting. The International Journal of Tuberculosis and Lung Disease. 23(11). 1223–1227. 7 indexed citations
14.
Velásquez, Gustavo E., Meredith B. Brooks, Julia Coit, et al.. (2018). Efficacy and Safety of High-Dose Rifampin in Pulmonary Tuberculosis. A Randomized Controlled Trial. American Journal of Respiratory and Critical Care Medicine. 198(5). 657–666. 74 indexed citations
15.
Coit, Julia, Segundo R. León, Silvia S. Chiang, et al.. (2018). Feasibility of the string test for tuberculosis diagnosis in children between 4 and 14 years old. BMC Infectious Diseases. 18(1). 574–574. 7 indexed citations
16.
Peloquin, Charles A., Gustavo E. Velásquez, Leonid Lecca, et al.. (2017). Pharmacokinetic Evidence from the HIRIF Trial To Support Increased Doses of Rifampin for Tuberculosis. Antimicrobial Agents and Chemotherapy. 61(8). 28 indexed citations
17.
Milstein, M., Leonid Lecca, Charles A. Peloquin, et al.. (2016). Evaluation of high-dose rifampin in patients with new, smear-positive tuberculosis (HIRIF): study protocol for a randomized controlled trial. BMC Infectious Diseases. 16(1). 453–453. 27 indexed citations
18.
Coit, Julia, et al.. (2012). Introducing Solid Foods. Journal of Human Lactation. 28(4). 490–494. 5 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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