Anna Cervantes

678 total citations · 1 hit paper
6 papers, 256 citations indexed

About

Anna Cervantes is a scholar working on Physiology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Anna Cervantes has authored 6 papers receiving a total of 256 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Physiology, 3 papers in Cellular and Molecular Neuroscience and 2 papers in Neurology. Recurrent topics in Anna Cervantes's work include Pain Mechanisms and Treatments (4 papers), Acupuncture Treatment Research Studies (2 papers) and Autoimmune Neurological Disorders and Treatments (1 paper). Anna Cervantes is often cited by papers focused on Pain Mechanisms and Treatments (4 papers), Acupuncture Treatment Research Studies (2 papers) and Autoimmune Neurological Disorders and Treatments (1 paper). Anna Cervantes collaborates with scholars based in United States, Australia and France. Anna Cervantes's co-authors include Ishwarya Sankaranarayanan, Theodore J. Price, Jeffrey C. Reese, Stephanie Shiers, Andi Wangzhou, Gregory Dussor, Diana Tavares‐Ferreira, Pradipta Ray, Michael D. Burton and Bryan A. Copits and has published in prestigious journals such as Nature Communications, The Journal of Comparative Neurology and Scientific Reports.

In The Last Decade

Anna Cervantes

3 papers receiving 253 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Spatial transcriptomics of dorsal root ganglia identifies molecular signatures of human nociceptors

2022 217 citations Diana Tavares‐Ferreira, Stephanie Shiers et al. Science Translational Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Anna Cervantes United States	2	136	95	88	38	25	6	256
Ayesha Ahmad United States	8	170 1.3×	104 1.1×	97 1.1×	21 0.6×	34 1.4×	10	280
Diana Tavares‐Ferreira United States	8	214 1.6×	135 1.4×	119 1.4×	40 1.1×	32 1.3×	15	412
Serena Quarta Austria	11	196 1.4×	149 1.6×	169 1.9×	53 1.4×	21 0.8×	12	439
Yangyang Chen China	8	132 1.0×	79 0.8×	91 1.0×	15 0.4×	22 0.9×	14	260
Federica La Russa United Kingdom	8	183 1.3×	179 1.9×	125 1.4×	26 0.7×	22 0.9×	11	469
Jingrong Zhao China	4	152 1.1×	122 1.3×	150 1.7×	71 1.9×	18 0.7×	10	380
Lars J. von Buchholtz United States	6	200 1.5×	119 1.3×	123 1.4×	82 2.2×	16 0.6×	7	365
Massimiliano Prandini Italy	6	204 1.5×	230 2.4×	119 1.4×	57 1.5×	39 1.6×	8	366
Lite Yang United States	4	180 1.3×	206 2.2×	139 1.6×	36 0.9×	18 0.7×	6	458

Countries citing papers authored by Anna Cervantes

Since Specialization

Citations

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

Fields of papers citing papers by Anna Cervantes

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Cervantes

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

All Works

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6 of 6 papers shown

1.

Mwirigi, Juliet M., Anna Cervantes, Peter Horton, et al.. (2025). Genetic editing of primary human dorsal root ganglion neurons using CRISPR-Cas9. Scientific Reports. 15(1). 11116–11116.

2.

Shiers, Stephanie, Andi Wangzhou, Rainer Haberberger, et al.. (2025). Nageotte nodules in human dorsal root ganglia reveal neurodegeneration in diabetic peripheral neuropathy. Nature Communications. 16(1). 4168–4168. 1 indexed citations

3.

Cervantes, Anna, et al.. (2024). Autoimmune and inflammatory neurological disorders in the intensive care unit. Current Opinion in Critical Care. 30(2). 142–150.

4.

Shiers, Stephanie, et al.. (2024). Pathological Abnormalities of Painful Diabetic Neuropathy in The Human Dorsal Root Ganglion. Journal of Pain. 25(4). 18–19.

5.

Tavares‐Ferreira, Diana, Stephanie Shiers, Pradipta Ray, et al.. (2022). Spatial transcriptomics of dorsal root ganglia identifies molecular signatures of human nociceptors. Science Translational Medicine. 14(632). eabj8186–eabj8186. 217 indexed citations breakdown →

6.

Shiers, Stephanie, Ishwarya Sankaranarayanan, Vivek Jeevakumar, et al.. (2021). Convergence of peptidergic and non‐peptidergic protein markers in the human dorsal root ganglion and spinal dorsal horn. The Journal of Comparative Neurology. 529(10). 2771–2788. 38 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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