Dilraj Kaur

450 total citations
16 papers, 223 citations indexed

About

Dilraj Kaur is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Dilraj Kaur has authored 16 papers receiving a total of 223 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 6 papers in Immunology and 2 papers in Oncology. Recurrent topics in Dilraj Kaur's work include Machine Learning in Bioinformatics (5 papers), vaccines and immunoinformatics approaches (4 papers) and interferon and immune responses (3 papers). Dilraj Kaur is often cited by papers focused on Machine Learning in Bioinformatics (5 papers), vaccines and immunoinformatics approaches (4 papers) and interferon and immune responses (3 papers). Dilraj Kaur collaborates with scholars based in India, United States and Germany. Dilraj Kaur's co-authors include Gajendra P. S. Raghava, Chakit Arora, Sumeet Patiyal, Harpreet Kaur, Neelam Sharma, Salman Sadullah Usmani, Vinod Kumar, Rajesh Kumar, Sherry Bhalla and Piyush Agrawal and has published in prestigious journals such as PLoS ONE, Scientific Reports and Arteriosclerosis Thrombosis and Vascular Biology.

In The Last Decade

Dilraj Kaur

14 papers receiving 216 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dilraj Kaur India 9 175 35 30 26 26 16 223
Jinyan Cheng China 9 125 0.7× 36 1.0× 7 0.2× 20 0.8× 42 1.6× 14 248
Tanja Jakoš Slovenia 9 122 0.7× 68 1.9× 12 0.4× 62 2.4× 77 3.0× 15 301
Penny Zhu United States 8 143 0.8× 75 2.1× 7 0.2× 51 2.0× 44 1.7× 9 283
Sangseob Leem South Korea 9 204 1.2× 10 0.3× 30 1.0× 12 0.5× 30 1.2× 23 320
Xueying Wang China 9 142 0.8× 50 1.4× 33 1.1× 13 0.5× 43 1.7× 39 350
Timothy Travers United States 11 172 1.0× 24 0.7× 7 0.2× 14 0.5× 6 0.2× 14 295
Xueli Niu China 10 98 0.6× 40 1.1× 9 0.3× 34 1.3× 37 1.4× 19 249
Amy Li United States 7 144 0.8× 12 0.3× 15 0.5× 13 0.5× 11 0.4× 16 189
Juanjuan Kang China 11 460 2.6× 29 0.8× 25 0.8× 10 0.4× 169 6.5× 20 528
Konstantinos Biliouris United States 11 153 0.9× 91 2.6× 8 0.3× 8 0.3× 12 0.5× 14 306

Countries citing papers authored by Dilraj Kaur

Since Specialization
Citations

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

Fields of papers citing papers by Dilraj Kaur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dilraj Kaur

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

All Works

16 of 16 papers shown
1.
Kumar, Rajesh, et al.. (2025). In Silico tool for predicting, designing and scanning IL-2 inducing peptides. Scientific Reports. 15(1). 25692–25692.
2.
Kespohl, Meike, Carl Christoph Goetzke, Nadine Althof, et al.. (2024). TF-FVIIa PAR2-β-Arrestin Signaling Sustains Organ Dysfunction in Coxsackievirus B3 Infection of Mice. Arteriosclerosis Thrombosis and Vascular Biology. 44(4). 843–865. 1 indexed citations
3.
Arora, Akanksha, et al.. (2023). SalivaDB—a comprehensive database for salivary biomarkers in humans. Database. 2023. 9 indexed citations
4.
Dhall, Anjali, Shipra Jain, Neelam Sharma, et al.. (2022). In silico tools and databases for designing cancer immunotherapy. Advances in protein chemistry and structural biology. 129. 1–50.
5.
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
6.
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
7.
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
8.
Kumar, Vinod, et al.. (2021). B3Pdb: an archive of blood–brain barrier-penetrating peptides. Brain Structure and Function. 226(8). 2489–2495. 30 indexed citations
9.
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
10.
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
12.
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
13.
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
14.
Kaur, Harpreet, Sherry Bhalla, Dilraj Kaur, & Gajendra P. S. Raghava. (2020). CancerLivER: a database of liver cancer gene expression resources and biomarkers. Database. 2020. 25 indexed citations
15.
Kaur, Dilraj, Sumeet Patiyal, Neelam Sharma, Salman Sadullah Usmani, & Gajendra P. S. Raghava. (2019). PRRDB 2.0: a comprehensive database of pattern-recognition receptors and their ligands. Database. 2019. 29 indexed citations
16.
Kaur, Dilraj, et al.. (2015). A Critical Study and Comparative Analysis of Various Haze Removal Techniques. International Journal of Computer Applications. 121(16). 9–14. 3 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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