Chakit Arora

768 total citations
15 papers, 421 citations indexed

About

Chakit Arora is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Chakit Arora has authored 15 papers receiving a total of 421 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 4 papers in Immunology and 3 papers in Cancer Research. Recurrent topics in Chakit Arora's work include Machine Learning in Bioinformatics (3 papers), RNA and protein synthesis mechanisms (3 papers) and interferon and immune responses (2 papers). Chakit Arora is often cited by papers focused on Machine Learning in Bioinformatics (3 papers), RNA and protein synthesis mechanisms (3 papers) and interferon and immune responses (2 papers). Chakit Arora collaborates with scholars based in India, Italy and United States. Chakit Arora's co-authors include Gajendra P. S. Raghava, Sumeet Patiyal, Anjali Dhall, Neelam Sharma, Akshara Pande, Dilraj Kaur, Purbarun Dhar, Harpreet Kaur, Rajesh Kumar and Piyush Agrawal and has published in prestigious journals such as PLoS ONE, Frontiers in Immunology and Journal of the Franklin Institute.

In The Last Decade

Chakit Arora

15 papers receiving 412 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chakit Arora India	11	320	84	57	56	44	15	421
Carine Farenc Australia	11	208 0.7×	179 2.1×	64 1.1×	54 1.0×	37 0.8×	17	483
Magnus Haraldson Høie Denmark	6	345 1.1×	62 0.7×	86 1.5×	24 0.4×	11 0.3×	8	432
Shuhei Hashiguchi Japan	13	161 0.5×	103 1.2×	117 2.1×	20 0.4×	51 1.2×	27	389
Balvinder Singh India	11	318 1.0×	53 0.6×	33 0.6×	39 0.7×	53 1.2×	34	438
Sang Hwan Seo South Korea	13	209 0.7×	156 1.9×	20 0.4×	178 3.2×	55 1.3×	32	516
Phil Bourne United States	2	307 1.0×	193 2.3×	125 2.2×	46 0.8×	21 0.5×	2	395
Paushali Mukherjee India	14	166 0.5×	277 3.3×	35 0.6×	21 0.4×	17 0.4×	27	568
Julianne Peabody United States	14	231 0.7×	246 2.9×	132 2.3×	111 2.0×	54 1.2×	19	728
Roger Astley United States	18	230 0.7×	172 2.0×	98 1.7×	43 0.8×	30 0.7×	33	690

Countries citing papers authored by Chakit Arora

Since Specialization

Citations

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

Fields of papers citing papers by Chakit Arora

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chakit Arora

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

All Works

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15 of 15 papers shown

Arora, Chakit, Francesco Carli, Giuseppe R. Diaferia, et al.. (2024). The landscape of cancer-rewired GPCR signaling axes. Cell Genomics. 4(5). 100557–100557. 10 indexed citations

Arora, Chakit, et al.. (2023). EXPANSION: a webserver to explore the functional consequences of protein-coding alternative splice variants in cancer genomics. Bioinformatics Advances. 3(1). vbad135–vbad135. 1 indexed citations

Pande, Akshara, Sumeet Patiyal, Chakit Arora, et al.. (2022). Pfeature: A Tool for Computing Wide Range of Protein Features and Building Prediction Models. Journal of Computational Biology. 30(2). 204–222. 47 indexed citations

Kaur, Dilraj, Chakit Arora, & Gajendra P. S. Raghava. (2021). Prognostic Biomarker-Based Identification of Drugs for Managing the Treatment of Endometrial Cancer. Molecular Diagnosis & Therapy. 25(5). 629–646. 7 indexed citations

Kaur, Dilraj, Sumeet Patiyal, Chakit Arora, et al.. (2021). In-Silico Tool for Predicting, Scanning, and Designing Defensins. Frontiers in Immunology. 12. 780610–780610. 10 indexed citations

Arora, Chakit, Dilraj Kaur, Leimarembi Devi Naorem, & Gajendra P. S. Raghava. (2021). Prognostic biomarkers for predicting papillary thyroid carcinoma patients at high risk using nine genes of apoptotic pathway. PLoS ONE. 16(11). e0259534–e0259534. 11 indexed citations

Arora, Chakit, Dilraj Kaur, & Gajendra P. S. Raghava. (2021). Universal and cross‐cancer prognostic biomarkers for predicting survival risk of cancer patients from expression profile of apoptotic pathway genes. PROTEOMICS. 22(3). e2000311–e2000311. 5 indexed citations

Sharma, Neelam, Sumeet Patiyal, Anjali Dhall, et al.. (2020). AlgPred 2.0: an improved method for predicting allergenic proteins and mapping of IgE epitopes. Briefings in Bioinformatics. 22(4). 211 indexed citations

Dhall, Anjali, Sumeet Patiyal, Harpreet Kaur, et al.. (2020). Computing Skin Cutaneous Melanoma Outcome From the HLA-Alleles and Clinical Characteristics. Frontiers in Genetics. 11. 221–221. 26 indexed citations

10.

Arora, Chakit, et al.. (2020). Risk prediction in cutaneous melanoma patients from their clinico-pathological features: superiority of clinical data over gene expression data. Heliyon. 6(8). e04811–e04811. 8 indexed citations

11.

Patiyal, Sumeet, Dilraj Kaur, Harpreet Kaur, et al.. (2020). A Web-Based Platform on Coronavirus Disease-19 to Maintain Predicted Diagnostic, Drug, and Vaccine Candidates. Monoclonal Antibodies in Immunodiagnosis and Immunotherapy. 39(6). 204–216. 22 indexed citations

12.

Kaur, Dilraj, Chakit Arora, & Gajendra P. S. Raghava. (2020). A Hybrid Model for Predicting Pattern Recognition Receptors Using Evolutionary Information. Frontiers in Immunology. 11. 71–71. 16 indexed citations

13.

Kumar, Rajesh, et al.. (2020). Identification of prognostic biomarkers for major subtypes of non-small-cell lung cancer using genomic and clinical data. Journal of Cancer Research and Clinical Oncology. 146(11). 2743–2752. 10 indexed citations

14.

Arora, Chakit, et al.. (2019). Prediction of risk scores for colorectal cancer patients from the concentration of proteins involved in mitochondrial apoptotic pathway. PLoS ONE. 14(9). e0217527–e0217527. 13 indexed citations

15.

Dhar, Purbarun & Chakit Arora. (1976). Optimum design of finned surfaces. Journal of the Franklin Institute. 301(4). 379–392. 24 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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