Anil K. Chokkalla

957 total citations
32 papers, 698 citations indexed

About

Anil K. Chokkalla is a scholar working on Molecular Biology, Cancer Research and Epidemiology. According to data from OpenAlex, Anil K. Chokkalla has authored 32 papers receiving a total of 698 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 12 papers in Cancer Research and 5 papers in Epidemiology. Recurrent topics in Anil K. Chokkalla's work include RNA modifications and cancer (11 papers), Cancer-related molecular mechanisms research (10 papers) and Epigenetics and DNA Methylation (6 papers). Anil K. Chokkalla is often cited by papers focused on RNA modifications and cancer (11 papers), Cancer-related molecular mechanisms research (10 papers) and Epigenetics and DNA Methylation (6 papers). Anil K. Chokkalla collaborates with scholars based in United States, Norway and Australia. Anil K. Chokkalla's co-authors include Raghu Vemuganti, Suresh L. Mehta, TaeHee Kim, Bharath Chelluboina, Kahlilia C. Morris-Blanco, Jooyong Kim, Raghu Vemuganti, Vijay Arruri, Charles K. Davis and Ruth Sullivan and has published in prestigious journals such as Journal of Neuroscience, Stroke and Journal of Cerebral Blood Flow & Metabolism.

In The Last Decade

Anil K. Chokkalla

31 papers receiving 692 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anil K. Chokkalla United States 16 482 322 114 66 51 32 698
Ya Lv China 10 307 0.6× 175 0.5× 127 1.1× 43 0.7× 24 0.5× 13 568
PhilipV Peplow New Zealand 12 261 0.5× 188 0.6× 59 0.5× 24 0.4× 55 1.1× 14 440
Shuqin Zhan China 12 335 0.7× 145 0.5× 81 0.7× 27 0.4× 28 0.5× 28 516
Shuo Leng China 8 522 1.1× 423 1.3× 102 0.9× 78 1.2× 44 0.9× 11 684
Jing‐Min Lu China 14 457 0.9× 370 1.1× 64 0.6× 34 0.5× 51 1.0× 20 734
Lauren D. Moss United States 9 264 0.5× 129 0.4× 107 0.9× 26 0.4× 72 1.4× 12 497
Carme Gubern Spain 12 217 0.5× 89 0.3× 51 0.4× 75 1.1× 29 0.6× 22 426
Hu Y China 8 189 0.4× 90 0.3× 87 0.8× 38 0.6× 28 0.5× 23 380
Lan Chu China 13 340 0.7× 119 0.4× 125 1.1× 28 0.4× 123 2.4× 30 642
Kira Sheinerman United States 8 433 0.9× 409 1.3× 100 0.9× 15 0.2× 58 1.1× 14 629

Countries citing papers authored by Anil K. Chokkalla

Since Specialization
Citations

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

Fields of papers citing papers by Anil K. Chokkalla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anil K. Chokkalla. 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 Anil K. Chokkalla. The network helps show where Anil K. Chokkalla may publish in the future.

Co-authorship network of co-authors of Anil K. Chokkalla

This figure shows the co-authorship network connecting the top 25 collaborators of Anil K. Chokkalla. A scholar is included among the top collaborators of Anil K. Chokkalla 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 Anil K. Chokkalla. Anil K. Chokkalla 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.
Davis, Charles K., et al.. (2025). Fecal microbiota transplantation fails to impart the benefits of circadian-dependent intermittent fasting following ischemic stroke. Journal of Cerebral Blood Flow & Metabolism. 45(4). 779–789. 1 indexed citations
2.
Chokkalla, Anil K., Charles K. Davis, Bharath Chelluboina, et al.. (2024). Circadian-Dependent Intermittent Fasting Influences Ischemic Tolerance and Dendritic Spine Remodeling. Stroke. 55(8). 2139–2150. 8 indexed citations
3.
Chokkalla, Anil K., et al.. (2024). Validation of a whole blood machine learning strategy for distinguishing between bacterial and viral infection in a pediatric hospital setting. Practical Laboratory Medicine. 39. e00387–e00387. 3 indexed citations
4.
Chokkalla, Anil K., et al.. (2024). Loss of Epitranscriptomic Modification N6-Methyladenosine (m6A) Reader YTHDF1 Exacerbates Ischemic Brain Injury in a Sexually Dimorphic Manner. Translational Stroke Research. 16(3). 831–847. 3 indexed citations
5.
Chokkalla, Anil K., et al.. (2024). Path Towards Biopsy-Free Diagnosis of Celiac Disease in Pediatric Patients. Clinica Chimica Acta. 557. 117891–117891. 1 indexed citations
6.
Chokkalla, Anil K., et al.. (2023). Validation of a multi-analyte immunoassay for distinguishing bacterial vs. viral infections in a pediatric cohort. Clinica Chimica Acta. 546. 117387–117387. 10 indexed citations
7.
Chokkalla, Anil K., et al.. (2023). Post-stroke depression: epigenetic and epitranscriptomic modifications and their interplay with gut microbiota. Molecular Psychiatry. 28(10). 4044–4055. 21 indexed citations
8.
9.
Chokkalla, Anil K., Kinga Pajdzik, Xiaoyang Dou, et al.. (2022). Dysregulation of the Epitranscriptomic Mark m1A in Ischemic Stroke. Translational Stroke Research. 14(6). 806–810. 7 indexed citations
10.
Arruri, Vijay, Anil K. Chokkalla, Bharath Chelluboina, et al.. (2022). MMP-12 knockdown prevents secondary brain damage after ischemic stroke in mice. Neurochemistry International. 161. 105432–105432. 11 indexed citations
11.
Mehta, Suresh L., et al.. (2022). MicroRNA miR-7 Is Essential for Post-stroke Functional Recovery. Translational Stroke Research. 14(1). 111–115. 14 indexed citations
12.
Morris-Blanco, Kahlilia C., et al.. (2022). High-Dose Vitamin C Prevents Secondary Brain Damage After Stroke via Epigenetic Reprogramming of Neuroprotective Genes. Translational Stroke Research. 13(6). 1017–1036. 19 indexed citations
13.
Mehta, Suresh L., Anil K. Chokkalla, TaeHee Kim, et al.. (2021). Long Noncoding RNA Fos Downstream Transcript Is Developmentally Dispensable but Vital for Shaping the Poststroke Functional Outcome. Stroke. 52(7). 2381–2392. 20 indexed citations
14.
Chokkalla, Anil K., Suresh L. Mehta, & Raghu Vemuganti. (2021). Epitranscriptomic Modifications Modulate Normal and Pathological Functions in CNS. Translational Stroke Research. 13(1). 1–11. 23 indexed citations
15.
Mehta, Suresh L., Anil K. Chokkalla, & Raghu Vemuganti. (2021). Noncoding RNA crosstalk in brain health and diseases. Neurochemistry International. 149. 105139–105139. 34 indexed citations
16.
Chokkalla, Anil K., et al.. (2020). Microarray Profiling Reveals Distinct Circulating miRNAs in Aged Male and Female Mice Subjected to Post-stroke Social Isolation. NeuroMolecular Medicine. 23(2). 305–314. 11 indexed citations
17.
Chokkalla, Anil K., Suresh L. Mehta, & Raghu Vemuganti. (2020). Epitranscriptomic regulation by m6A RNA methylation in brain development and diseases. Journal of Cerebral Blood Flow & Metabolism. 40(12). 2331–2349. 57 indexed citations
18.
Kim, TaeHee, Bharath Chelluboina, Anil K. Chokkalla, & Raghu Vemuganti. (2019). Age and sex differences in the pathophysiology of acute CNS injury. Neurochemistry International. 127. 22–28. 53 indexed citations
19.
Morris-Blanco, Kahlilia C., et al.. (2018). Inhibition of the Epigenetic Regulator REST Ameliorates Ischemic Brain Injury. Molecular Neurobiology. 56(4). 2542–2550. 20 indexed citations
20.
Kim, TaeHee, Suresh L. Mehta, Kahlilia C. Morris-Blanco, et al.. (2018). The microRNA miR-7a-5p ameliorates ischemic brain damage by repressing α-synuclein. Science Signaling. 11(560). 91 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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