Ajay Chatrath

1.0k total citations
25 papers, 633 citations indexed

About

Ajay Chatrath is a scholar working on Genetics, Molecular Biology and Cancer Research. According to data from OpenAlex, Ajay Chatrath has authored 25 papers receiving a total of 633 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Genetics, 7 papers in Molecular Biology and 6 papers in Cancer Research. Recurrent topics in Ajay Chatrath's work include Glioma Diagnosis and Treatment (11 papers), Pituitary Gland Disorders and Treatments (5 papers) and Meningioma and schwannoma management (4 papers). Ajay Chatrath is often cited by papers focused on Glioma Diagnosis and Treatment (11 papers), Pituitary Gland Disorders and Treatments (5 papers) and Meningioma and schwannoma management (4 papers). Ajay Chatrath collaborates with scholars based in United States, India and Singapore. Ajay Chatrath's co-authors include Anindya Dutta, Manjari Kiran, Shekhar Saha, Ammar H. Hawasli, Chester K. Yarbrough, Jawad M. Khalifeh, Wilson Z. Ray, Mazin Elsarrag, Xiwei Tang and Pankaj Kumar and has published in prestigious journals such as Cancer Research, Science Advances and Journal of neurosurgery.

In The Last Decade

Ajay Chatrath

23 papers receiving 629 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ajay Chatrath United States 13 238 223 152 145 137 25 633
Joseph D. DiDomenico United States 13 168 0.7× 59 0.3× 66 0.4× 76 0.5× 78 0.6× 34 566
Dolores Segura Spain 15 249 1.0× 78 0.3× 129 0.8× 152 1.0× 46 0.3× 25 630
Elvira La Mantia Italy 13 211 0.9× 133 0.6× 172 1.1× 57 0.4× 37 0.3× 29 527
E. Q. Lee United States 8 245 1.0× 124 0.6× 85 0.6× 46 0.3× 38 0.3× 8 574
Andrew Youkilis United States 8 207 0.9× 93 0.4× 34 0.2× 290 2.0× 309 2.3× 8 633
Hirotomo Tanaka Japan 13 184 0.8× 146 0.7× 90 0.6× 18 0.1× 140 1.0× 35 611
Mayumi Higashi Japan 15 322 1.4× 126 0.6× 63 0.4× 216 1.5× 25 0.2× 50 706
Robin Buerki United States 11 225 0.9× 68 0.3× 75 0.5× 102 0.7× 34 0.2× 25 754
Tatsuya Ishibe Japan 12 190 0.8× 73 0.3× 151 1.0× 95 0.7× 73 0.5× 22 444
U. Hettmannsperger Germany 10 107 0.4× 111 0.5× 41 0.3× 68 0.5× 47 0.3× 15 429

Countries citing papers authored by Ajay Chatrath

Since Specialization
Citations

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

Fields of papers citing papers by Ajay Chatrath

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ajay Chatrath

This figure shows the co-authorship network connecting the top 25 collaborators of Ajay Chatrath. A scholar is included among the top collaborators of Ajay Chatrath 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 Ajay Chatrath. Ajay Chatrath 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.
Patel, Bhuvic, Kaleigh F. Roberts, Ajay Chatrath, et al.. (2024). Multiomic and clinical analysis of multiply recurrent meningiomas reveals risk factors, underlying biology, and insights into evolution. Science Advances. 10(43). eadn4419–eadn4419. 1 indexed citations
2.
Sahu, Divya, et al.. (2024). Development of a polygenic score predicting drug resistance and patient outcome in breast cancer. npj Precision Oncology. 8(1). 219–219. 1 indexed citations
3.
Chatrath, Ajay, et al.. (2024). Spinal calcifying pseudoneoplasms of the neuraxis: A case report and review of the literature. World Neurosurgery X. 23. 100312–100312.
4.
5.
Snyder, M. Harrison, Andy Wang, Ajay Chatrath, et al.. (2022). Primary Spinal Cord Astrocytomas: Two-Center Clinical Experience of Low- and High-Grade Lesions. World Neurosurgery. 167. e1006–e1016. 1 indexed citations
6.
Chatrath, Ajay, Parantap Patel, Mazin Elsarrag, et al.. (2022). Impact of histopathological classification of non-functioning adenomas on long term outcomes: comparison of the 2004 and 2017 WHO classifications. Pituitary. 25(6). 988–996. 3 indexed citations
7.
Chatrath, Ajay, et al.. (2022). Detecting molecular subtypes from multi-omics datasets using SUMO. Cell Reports Methods. 2(1). 100152–100152. 12 indexed citations
8.
Chatrath, Ajay, Aakrosh Ratan, & Anindya Dutta. (2021). Germline variants predictive of tumor mutational burden and immune checkpoint inhibitor efficacy. iScience. 24(3). 102248–102248. 7 indexed citations
9.
Saha, Shekhar, Manjari Kiran, Canan Kuscu, et al.. (2020). Long Noncoding RNA DRAIC Inhibits Prostate Cancer Progression by Interacting with IKK to Inhibit NF-κB Activation. Cancer Research. 80(5). 950–963. 56 indexed citations
10.
Chatrath, Ajay, et al.. (2020). Endovascular and Surgical Treatment Is Predictive of Readmission Risk After Aneurysmal Subarachnoid Hemorrhage. World Neurosurgery. 142. e494–e501. 2 indexed citations
11.
Chatrath, Ajay, Shashi Kiran, Zhangli Su, et al.. (2020). The pan-cancer landscape of prognostic germline variants in 10,582 patients. Genome Medicine. 12(1). 15–15. 23 indexed citations
12.
Chatrath, Ajay, Aakrosh Ratan, & Anindya Dutta. (2020). Germline Variants That Affect Tumor Progression. Trends in Genetics. 37(5). 433–443. 16 indexed citations
13.
Taylor, Davis G., Ajay Chatrath, Panagiotis Mastorakos, et al.. (2020). Cerebrospinal fluid area and syringogenesis in Chiari malformation type I. Journal of neurosurgery. 134(3). 825–830. 18 indexed citations
14.
Lu, Zhaolian, et al.. (2019). Parallel Concerted Evolution of Ribosomal Protein Genes in Fungi and Its Adaptive Significance. Molecular Biology and Evolution. 37(2). 455–468. 22 indexed citations
15.
Chatrath, Ajay, Manjari Kiran, Pankaj Kumar, Aakrosh Ratan, & Anindya Dutta. (2019). The Germline Variants rs61757955 and rs34988193 Are Predictive of Survival in Lower Grade Glioma Patients. Molecular Cancer Research. 17(5). 1075–1086. 5 indexed citations
16.
Chatrath, Ajay, Alexandria C. Marino, Davis G. Taylor, et al.. (2019). Chiari I malformation in children—the natural history. Child s Nervous System. 35(10). 1793–1799. 21 indexed citations
17.
Chatrath, Ajay, et al.. (2019). Ganglioglioma Arising from the Septum Pellucidum: Case Report and Review of the Literature. Pediatric Neurosurgery. 54(1). 36–45. 5 indexed citations
18.
Kiran, Manjari, Ajay Chatrath, Xiwei Tang, Daniel M. Keenan, & Anindya Dutta. (2018). A Prognostic Signature for Lower Grade Gliomas Based on Expression of Long Non-Coding RNAs. Molecular Neurobiology. 56(7). 4786–4798. 70 indexed citations
19.
Trifiletti, Daniel M., et al.. (2018). Stereotactic radiosurgery for brain metastases from malignant melanoma and the impact of hemorrhagic metastases. Journal of Neuro-Oncology. 140(1). 83–88. 13 indexed citations
20.
Hawasli, Ammar H., Jawad M. Khalifeh, Ajay Chatrath, Chester K. Yarbrough, & Wilson Z. Ray. (2017). Minimally invasive transforaminal lumbar interbody fusion with expandable versus static interbody devices: radiographic assessment of sagittal segmental and pelvic parameters. Neurosurgical FOCUS. 43(2). E10–E10. 100 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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