Ana Ortiz

962 total citations
12 papers, 697 citations indexed

About

Ana Ortiz is a scholar working on Pharmacology, Cognitive Neuroscience and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Ana Ortiz has authored 12 papers receiving a total of 697 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pharmacology, 6 papers in Cognitive Neuroscience and 5 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Ana Ortiz's work include Musculoskeletal pain and rehabilitation (7 papers), Heart Rate Variability and Autonomic Control (5 papers) and Pain Mechanisms and Treatments (4 papers). Ana Ortiz is often cited by papers focused on Musculoskeletal pain and rehabilitation (7 papers), Heart Rate Variability and Autonomic Control (5 papers) and Pain Mechanisms and Treatments (4 papers). Ana Ortiz collaborates with scholars based in United States, South Korea and Japan. Ana Ortiz's co-authors include Jian Kong, Ajay D. Wasan, Jessica Gerber, Bruce R. Rosen, Robert R. Edwards, Vitaly Napadow, Suk‐Tak Chan, Randy L. Gollub, Ted J. Kaptchuk and Courtney Lang and has published in prestigious journals such as NeuroImage, Pain and Cell Reports.

In The Last Decade

Ana Ortiz

11 papers receiving 690 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ana Ortiz United States 10 337 275 192 143 128 12 697
Ishtiaq Mawla United States 15 394 1.2× 264 1.0× 227 1.2× 256 1.8× 135 1.1× 19 871
Lauren LaCount United States 4 321 1.0× 247 0.9× 216 1.1× 301 2.1× 122 1.0× 8 650
Jeungchan Lee United States 21 500 1.5× 338 1.2× 274 1.4× 345 2.4× 262 2.0× 59 1.2k
Ishtiaq Mawla United States 9 169 0.5× 258 0.9× 140 0.7× 139 1.0× 75 0.6× 17 457
Carolyn Zyloney United States 5 423 1.3× 129 0.5× 246 1.3× 188 1.3× 259 2.0× 5 675
Michael Hauck Germany 17 456 1.4× 201 0.7× 277 1.4× 144 1.0× 79 0.6× 32 868
Kristen Jorgenson United States 11 273 0.8× 97 0.4× 94 0.5× 181 1.3× 127 1.0× 11 586
Yoshitetsu Oshiro Japan 10 467 1.4× 161 0.6× 391 2.0× 165 1.2× 31 0.2× 21 836
Wacław M. Adamczyk Poland 16 309 0.9× 309 1.1× 258 1.3× 231 1.6× 52 0.4× 60 688
Deborah E. Bentley United Kingdom 12 435 1.3× 189 0.7× 446 2.3× 138 1.0× 41 0.3× 16 793

Countries citing papers authored by Ana Ortiz

Since Specialization
Citations

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

Fields of papers citing papers by Ana Ortiz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ana Ortiz

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

All Works

12 of 12 papers shown
1.
2.
Ortiz, Ana, et al.. (2022). Corticogenesis across species at single‐cell resolution. Developmental Neurobiology. 82(6). 517–532. 2 indexed citations
3.
Yu, Siyi, Wen Li, Wei Shen, et al.. (2020). Impaired mesocorticolimbic connectivity underlies increased pain sensitivity in chronic low back pain. NeuroImage. 218. 116969–116969. 52 indexed citations
4.
Kim, Hyungjun, Ishtiaq Mawla, Jeungchan Lee, et al.. (2020). Reduced tactile acuity in chronic low back pain is linked with structural neuroplasticity in primary somatosensory cortex and is modulated by acupuncture therapy. NeuroImage. 217. 116899–116899. 58 indexed citations
5.
Yu, Siyi, Ana Ortiz, Randy L. Gollub, et al.. (2020). Acupuncture Treatment Modulates the Connectivity of Key Regions of the Descending Pain Modulation and Reward Systems in Patients with Chronic Low Back Pain. Journal of Clinical Medicine. 9(6). 1719–1719. 47 indexed citations
6.
Zhang, Binlong, Minyoung Jung, Yiheng Tu, et al.. (2019). Identifying brain regions associated with the neuropathology of chronic low back pain: a resting-state amplitude of low-frequency fluctuation study. British Journal of Anaesthesia. 123(2). e303–e311. 78 indexed citations
7.
Tu, Yiheng, Ana Ortiz, Randy L. Gollub, et al.. (2019). Multivariate resting-state functional connectivity predicts responses to real and sham acupuncture treatment in chronic low back pain. NeuroImage Clinical. 23. 101885–101885. 63 indexed citations
8.
Shen, Wei, Yiheng Tu, Randy L. Gollub, et al.. (2019). Visual network alterations in brain functional connectivity in chronic low back pain: A resting state functional connectivity and machine learning study. NeuroImage Clinical. 22. 101775–101775. 82 indexed citations
9.
Kim, Jieun, Ishtiaq Mawla, Jian Kong, et al.. (2019). Somatotopically specific primary somatosensory connectivity to salience and default mode networks encodes clinical pain. Pain. 160(7). 1594–1605. 77 indexed citations
10.
Tu, Yiheng, Minyoung Jung, Randy L. Gollub, et al.. (2019). Abnormal medial prefrontal cortex functional connectivity and its association with clinical symptoms in chronic low back pain. Pain. 160(6). 1308–1318. 90 indexed citations
11.
Lee, Jeungchan, Ishtiaq Mawla, Jieun Kim, et al.. (2018). Machine learning–based prediction of clinical pain using multimodal neuroimaging and autonomic metrics. Pain. 160(3). 550–560. 91 indexed citations
12.

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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2026