Carlos A. Jaramillo

1.2k total citations
31 papers, 869 citations indexed

About

Carlos A. Jaramillo is a scholar working on Epidemiology, Emergency Medicine and Pharmacology. According to data from OpenAlex, Carlos A. Jaramillo has authored 31 papers receiving a total of 869 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Epidemiology, 12 papers in Emergency Medicine and 8 papers in Pharmacology. Recurrent topics in Carlos A. Jaramillo's work include Traumatic Brain Injury Research (12 papers), Cardiac Arrest and Resuscitation (8 papers) and Musculoskeletal pain and rehabilitation (7 papers). Carlos A. Jaramillo is often cited by papers focused on Traumatic Brain Injury Research (12 papers), Cardiac Arrest and Resuscitation (8 papers) and Musculoskeletal pain and rehabilitation (7 papers). Carlos A. Jaramillo collaborates with scholars based in United States. Carlos A. Jaramillo's co-authors include Mary Jo Pugh, Blessen C. Eapen, Megan E. Amuan, Nipam H. Patel, Gregory K. Davis, Alicia A. Swan, Erin P. Finley, David F. Tate, Douglas B. Cooper and Jan E. Kennedy and has published in prestigious journals such as PLoS ONE, Development and Neuroscience.

In The Last Decade

Carlos A. Jaramillo

31 papers receiving 845 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Carlos A. Jaramillo United States 17 388 247 198 153 143 31 869
L. McGuire United States 11 475 1.2× 324 1.3× 383 1.9× 112 0.7× 194 1.4× 28 1.2k
Alexandra L. Clark United States 21 596 1.5× 239 1.0× 368 1.9× 166 1.1× 238 1.7× 71 1.1k
Hal Loewen Canada 12 266 0.7× 184 0.7× 144 0.7× 86 0.6× 223 1.6× 22 946
James P. Kelly United States 13 963 2.5× 534 2.2× 683 3.4× 145 0.9× 122 0.9× 20 1.3k
A. Laurent‐Vannier France 18 386 1.0× 385 1.6× 268 1.4× 144 0.9× 152 1.1× 62 959
Anne Shapiro United States 7 472 1.2× 298 1.2× 373 1.9× 138 0.9× 214 1.5× 10 1.0k
Marcelo Libório Schwarzbold Brazil 16 253 0.7× 169 0.7× 369 1.9× 70 0.5× 167 1.2× 35 778
Mark P. Kelly United States 16 451 1.2× 265 1.1× 340 1.7× 53 0.3× 204 1.4× 37 972
Christian Niyonkuru United States 22 396 1.0× 163 0.7× 628 3.2× 32 0.2× 184 1.3× 27 1.2k
Dan Hoofien Israel 13 352 0.9× 175 0.7× 203 1.0× 98 0.6× 116 0.8× 28 719

Countries citing papers authored by Carlos A. Jaramillo

Since Specialization
Citations

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

Fields of papers citing papers by Carlos A. Jaramillo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carlos A. Jaramillo. 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 Carlos A. Jaramillo. The network helps show where Carlos A. Jaramillo may publish in the future.

Co-authorship network of co-authors of Carlos A. Jaramillo

This figure shows the co-authorship network connecting the top 25 collaborators of Carlos A. Jaramillo. A scholar is included among the top collaborators of Carlos A. Jaramillo 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 Carlos A. Jaramillo. Carlos A. Jaramillo 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.
Reed, David E., Cindy A. McGeary, Timothy T. Houle, et al.. (2023). Mechanisms of change in posttraumatic headache–related disability: A mediation model. Headache The Journal of Head and Face Pain. 63(3). 410–417. 2 indexed citations
2.
Brintz, Ben J., Chen‐Pin Wang, Donald D. McGeary, et al.. (2022). Complex pain phenotypes: Suicidal ideation and attempt through latent multimorbidity. PLoS ONE. 17(4). e0267844–e0267844. 4 indexed citations
3.
McGeary, Donald D., Donald Penzien, Patricia A. Resick, et al.. (2021). Study design for a randomized clinical trial of cognitive-behavioral therapy for posttraumatic headache. Contemporary Clinical Trials Communications. 21. 100699–100699. 8 indexed citations
4.
Alaeddini, Adel, et al.. (2020). Summarizing Complex Graphical Models of Multiple Chronic Conditions Using the Second Eigenvalue of Graph Laplacian: Algorithm Development and Validation. JMIR Medical Informatics. 8(6). e16372–e16372. 1 indexed citations
5.
Wang, Chen‐Pin, Donald D. McGeary, Carlos A. Jaramillo, et al.. (2020). Five-year Pain Intensity and Treatment Trajectories of Post-9/11 Veterans With Mild Traumatic Brain Injury. Journal of Pain. 21(9-10). 1005–1017. 9 indexed citations
6.
7.
Pugh, Mary Jo, Alicia A. Swan, Megan E. Amuan, et al.. (2019). Deployment, suicide, and overdose among comorbidity phenotypes following mild traumatic brain injury: A retrospective cohort study from the Chronic Effects of Neurotrauma Consortium. PLoS ONE. 14(9). e0222674–e0222674. 24 indexed citations
8.
Amuan, Megan E., et al.. (2018). Patterns of zolpidem use among Iraq and Afghanistan veterans: A retrospective cohort analysis. PLoS ONE. 13(1). e0190022–e0190022. 10 indexed citations
9.
10.
Jaramillo, Carlos A., et al.. (2017). Mining Major Transitions of Chronic Conditions in Patients with Multiple Chronic Conditions. Methods of Information in Medicine. 56(5). 391–400. 16 indexed citations
11.
Pugh, Mary Jo, Alicia A. Swan, Kathleen F. Carlson, et al.. (2017). Traumatic Brain Injury Severity, Comorbidity, Social Support, Family Functioning, and Community Reintegration Among Veterans of the Afghanistan and Iraq Wars. Archives of Physical Medicine and Rehabilitation. 99(2). S40–S49. 62 indexed citations
12.
Swan, Alicia A., et al.. (2017). Prevalence of hearing loss and tinnitus in Iraq and Afghanistan Veterans: A Chronic Effects of Neurotrauma Consortium study. Hearing Research. 349. 4–12. 58 indexed citations
13.
Pugh, Mary Jo, Carlos A. Jaramillo, Paola Faverio, et al.. (2016). Increasing Prevalence of Chronic Lung Disease in Veterans of the Wars in Iraq and Afghanistan. Military Medicine. 181(5). 476–481. 44 indexed citations
14.
15.
Shireman, Paula K., Todd E. Rasmussen, Carlos A. Jaramillo, & Mary Jo Pugh. (2015). VA Vascular Injury Study (VAVIS): VA-DoD extremity injury outcomes collaboration. BMC Surgery. 15(1). 13–13. 8 indexed citations
16.
Jaramillo, Carlos A., Blessen C. Eapen, Cindy A. McGeary, et al.. (2015). A cohort study examining headaches among veterans of I raq and A fghanistan wars: Associations with traumatic brain injury, PTSD, and depression. Headache The Journal of Head and Face Pain. 56(3). 528–539. 48 indexed citations
17.
Evans, Teresa M., Carlos A. Jaramillo, Kavithalakshmi Sataranatarajan, et al.. (2015). The effect of mild traumatic brain injury on peripheral nervous system pathology in wild-type mice and the G93A mutant mouse model of motor neuron disease. Neuroscience. 298. 410–423. 17 indexed citations
18.
19.
Pugh, Mary Jo, Jean A. Orman, Carlos A. Jaramillo, et al.. (2014). The Prevalence of Epilepsy and Association With Traumatic Brain Injury in Veterans of the Afghanistan and Iraq Wars. Journal of Head Trauma Rehabilitation. 30(1). 29–37. 57 indexed citations
20.
Shi, Yun, Maxim V. Ivannikov, Michael Walsh, et al.. (2014). The Lack of CuZnSOD Leads to Impaired Neurotransmitter Release, Neuromuscular Junction Destabilization and Reduced Muscle Strength in Mice. PLoS ONE. 9(6). e100834–e100834. 48 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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