Anjali Dhall

1.5k total citations
38 papers, 786 citations indexed

About

Anjali Dhall is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Anjali Dhall has authored 38 papers receiving a total of 786 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 9 papers in Immunology and 6 papers in Oncology. Recurrent topics in Anjali Dhall's work include vaccines and immunoinformatics approaches (14 papers), Machine Learning in Bioinformatics (6 papers) and Immunotherapy and Immune Responses (6 papers). Anjali Dhall is often cited by papers focused on vaccines and immunoinformatics approaches (14 papers), Machine Learning in Bioinformatics (6 papers) and Immunotherapy and Immune Responses (6 papers). Anjali Dhall collaborates with scholars based in India, United States and Ukraine. Anjali Dhall's co-authors include Gajendra P. S. Raghava, Sumeet Patiyal, Neelam Sharma, Chakit Arora, Akshara Pande, Harpreet Kaur, Salman Sadullah Usmani, Sherry Bhalla, Vinod Kumar and Rajesh Kumar and has published in prestigious journals such as Nature, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Anjali Dhall

36 papers receiving 764 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anjali Dhall India 16 588 128 98 97 93 38 786
Sumeet Patiyal India 17 713 1.2× 135 1.1× 108 1.1× 109 1.1× 129 1.4× 50 896
Jamil Ahmad Pakistan 14 592 1.0× 158 1.2× 84 0.9× 91 0.9× 43 0.5× 55 885
Hamzeh Rahimi Iran 15 323 0.5× 69 0.5× 74 0.8× 62 0.6× 32 0.3× 69 653
Sepideh Parvizpour Iran 15 441 0.8× 127 1.0× 109 1.1× 103 1.1× 23 0.2× 45 688
Christopher Mehlin United States 13 545 0.9× 250 2.0× 46 0.5× 149 1.5× 85 0.9× 22 875
Rupal Ojha India 15 634 1.1× 170 1.3× 182 1.9× 207 2.1× 27 0.3× 28 836
Ayesha Obaid Pakistan 10 512 0.9× 130 1.0× 109 1.1× 115 1.2× 41 0.4× 25 657
Rajiv Gandhi Govindaraj South Korea 14 414 0.7× 175 1.4× 58 0.6× 37 0.4× 69 0.7× 19 633
Saman Habib India 23 676 1.1× 210 1.6× 26 0.3× 138 1.4× 45 0.5× 65 1.2k

Countries citing papers authored by Anjali Dhall

Since Specialization
Citations

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

Fields of papers citing papers by Anjali Dhall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anjali Dhall

This figure shows the co-authorship network connecting the top 25 collaborators of Anjali Dhall. A scholar is included among the top collaborators of Anjali Dhall 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 Anjali Dhall. Anjali Dhall 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.
Baechler, Simone A., Anjali Dhall, Hongliang Zhang, et al.. (2025). Topoisomerase III-beta protects from immune dysregulation and tumorigenesis. Science Advances. 11(51). eady7028–eady7028.
2.
Patiyal, Sumeet, et al.. (2024). HLA-DR4Pred2: An improved method for predicting HLA-DRB1*04:01 binders. Methods. 232. 18–28. 2 indexed citations
3.
Patiyal, Sumeet, et al.. (2024). A hybrid approach for predicting transcription factors. SHILAP Revista de lepidopterología. 4. 1425419–1425419. 2 indexed citations
4.
Redon, Christophe E., Liton Kumar Saha, Andy D. Tran, et al.. (2024). Acetalax (Oxyphenisatin Acetate, NSC 59687) and Bisacodyl Cause Oncosis in Triple-Negative Breast Cancer Cell Lines by Poisoning the Ion Exchange Membrane Protein TRPM4. Cancer Research Communications. 4(8). 2101–2111. 4 indexed citations
5.
Dhall, Anjali, Sumeet Patiyal, & Gajendra P. S. Raghava. (2024). A hybrid method for discovering interferon-gamma inducing peptides in human and mouse. Scientific Reports. 14(1). 26859–26859. 4 indexed citations
6.
Dhall, Anjali, et al.. (2023). TNFepitope: A webserver for the prediction of TNF-α inducing epitopes. Computers in Biology and Medicine. 160. 106929–106929. 14 indexed citations
7.
Patiyal, Sumeet, Anjali Dhall, & Gajendra P. S. Raghava. (2022). A deep learning-based method for the prediction of DNA interacting residues in a protein. Briefings in Bioinformatics. 23(5). 18 indexed citations
8.
Patiyal, Sumeet, et al.. (2022). Prediction of RNA-interacting residues in a protein using CNN and evolutionary profile. Briefings in Bioinformatics. 24(1). 12 indexed citations
9.
Dhall, Anjali, Sumeet Patiyal, & Gajendra P. S. Raghava. (2022). HLAncPred: a method for predicting promiscuous non-classical HLA binding sites. Briefings in Bioinformatics. 23(5). 9 indexed citations
10.
Dhall, Anjali, et al.. (2022). In silico method for predicting infectious strains of influenza A virus from its genome and protein sequences. Journal of General Virology. 103(11). 1 indexed citations
11.
Patiyal, Sumeet, Anjali Dhall, & Gajendra P. S. Raghava. (2022). Prediction of risk-associated genes and high-risk liver cancer patients from their mutation profile: benchmarking of mutation calling techniques. Biology Methods and Protocols. 7(1). bpac012–bpac012. 3 indexed citations
12.
Jain, Shipra, Anjali Dhall, Sumeet Patiyal, & Gajendra P. S. Raghava. (2022). IL13Pred: A method for predicting immunoregulatory cytokine IL-13 inducing peptides. Computers in Biology and Medicine. 143. 105297–105297. 19 indexed citations
13.
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.
14.
Sharma, Neelam, Sumeet Patiyal, Anjali Dhall, Leimarembi Devi Naorem, & Gajendra P. S. Raghava. (2021). ChAlPred: A web server for prediction of allergenicity of chemical compounds. Computers in Biology and Medicine. 136. 104746–104746. 29 indexed citations
15.
Dhall, Anjali, Sumeet Patiyal, Neelam Sharma, Leimarembi Devi Naorem, & Gajendra P. S. Raghava. (2021). Computer-aided prediction of inhibitors against STAT3 for managing COVID-19 associated cytokine storm. Computers in Biology and Medicine. 137. 104780–104780. 11 indexed citations
16.
Kumar, Vinod, Sumeet Patiyal, Anjali Dhall, Neelam Sharma, & Gajendra P. S. Raghava. (2021). B3Pred: A Random-Forest-Based Method for Predicting and Designing Blood–Brain Barrier Penetrating Peptides. Pharmaceutics. 13(8). 1237–1237. 49 indexed citations
17.
Kaur, Harpreet, et al.. (2021). ProCanBio: A Database of Manually Curated Biomarkers for Prostate Cancer. Journal of Computational Biology. 28(12). 1248–1257. 1 indexed citations
18.
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
19.
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
20.
Dhall, Anjali, et al.. (2010). Antimicrobial and free radical scavenging activity of extracts of some Indian medicinal plants. Journal of Medicinal Plants Research. 4(22). 2313–2320. 18 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Sumeet Patiyal Breakdown of academic impact, for papers by Jamil Ahmad Breakdown of academic impact, for papers by Hamzeh Rahimi Breakdown of academic impact, for papers by Sepideh Parvizpour Breakdown of academic impact, for papers by Christopher Mehlin Breakdown of academic impact, for papers by Rupal Ojha Breakdown of academic impact, for papers by Ayesha Obaid Breakdown of academic impact, for papers by Rajiv Gandhi Govindaraj Breakdown of academic impact, for papers by Saman Habib
Rankless by CCL
2026