Sinu Paul

7.5k total citations · 4 hit papers
42 papers, 4.5k citations indexed

About

Sinu Paul is a scholar working on Molecular Biology, Immunology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Sinu Paul has authored 42 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 22 papers in Immunology and 13 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Sinu Paul's work include vaccines and immunoinformatics approaches (30 papers), Immunotherapy and Immune Responses (14 papers) and Monoclonal and Polyclonal Antibodies Research (13 papers). Sinu Paul is often cited by papers focused on vaccines and immunoinformatics approaches (30 papers), Immunotherapy and Immune Responses (14 papers) and Monoclonal and Polyclonal Antibodies Research (13 papers). Sinu Paul collaborates with scholars based in United States, Denmark and Argentina. Sinu Paul's co-authors include Bjoern Peters, Morten Nielsen, Alessandro Sette, Bruno Alvarez, Birkir Reynisson, Massimo Andreatta, Vanessa Jurtz, Paolo Marcatili, John Sidney and Daniela Weiskopf and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and SHILAP Revista de lepidopterología.

In The Last Decade

Sinu Paul

41 papers receiving 4.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

NetMHCpan-4.1 and NetMHCIIpan-4.0: improved predictions of MHC antigen presentation by concurrent motif deconvolution and integration of MS MHC eluted ligand data

2020 1.2k citations Bruno Alvarez, Sinu Paul et al. profile →
NetMHCpan-4.0: Improved Peptide–MHC Class I Interaction Predictions Integrating Eluted Ligand and Peptide Binding Affinity Data

2017 888 citations Vanessa Jurtz, Sinu Paul et al. The Journal of Immunology profile →
The Immune Epitope Database and Analysis Resource in Epitope Discovery and Synthetic Vaccine Design

2017 360 citations Ward Fleri, Sinu Paul et al. Frontiers in Immunology profile →
IEDB-AR: immune epitope database—analysis resource in 2019

2019 264 citations Sandeep Kumar Dhanda, Sinu Paul et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sinu Paul United States	25	3.0k	2.2k	1.2k	1.1k	666	42	4.5k
Kasper Lamberth Denmark	26	3.4k 1.2×	2.7k 1.3×	627 0.5×	1.3k 1.2×	613 0.9×	41	4.7k
Randi Vita United States	23	2.8k 0.9×	1.9k 0.9×	904 0.7×	1000 0.9×	477 0.7×	45	4.3k
Sandeep Kumar Dhanda United States	22	3.3k 1.1×	1.4k 0.7×	1.0k 0.8×	1.1k 1.0×	290 0.4×	54	4.1k
Julia Ponomarenko Spain	31	4.1k 1.4×	1.7k 0.8×	794 0.6×	1.2k 1.2×	304 0.5×	74	5.5k
Can Keşmir Netherlands	33	3.0k 1.0×	3.1k 1.4×	706 0.6×	916 0.9×	1.1k 1.7×	84	5.5k
Jeff Alexander United States	42	1.7k 0.6×	3.6k 1.7×	660 0.5×	668 0.6×	492 0.7×	89	5.5k
Carla Oseroff United States	39	2.4k 0.8×	4.2k 2.0×	615 0.5×	986 0.9×	449 0.7×	60	6.0k
M. Javad Aman United States	45	1.7k 0.6×	1.7k 0.8×	3.3k 2.7×	329 0.3×	695 1.0×	121	6.3k
Stylianos Bournazos United States	32	1.5k 0.5×	2.6k 1.2×	1.3k 1.0×	2.0k 1.9×	322 0.5×	55	4.9k
Hua‐Xin Liao United States	44	2.3k 0.8×	2.9k 1.4×	1.2k 1.0×	1.4k 1.3×	268 0.4×	118	6.2k

Countries citing papers authored by Sinu Paul

Since Specialization

Citations

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

Fields of papers citing papers by Sinu Paul

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sinu Paul

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Arlehamn, Cecilia S. Lindestam, Rebecca Kuan, Kimberly A. Dill‐McFarland, et al.. (2022). T-cell deficiency and hyperinflammatory monocyte responses associate with Mycobacterium avium complex lung disease. Frontiers in Immunology. 13. 1016038–1016038. 13 indexed citations

Reardon, Brian, Zeynep Koşaloğlu, Sinu Paul, Bjoern Peters, & Alessandro Sette. (2021). Allele-Specific Thresholds of Eluted Ligands for T-Cell Epitope Prediction. Molecular & Cellular Proteomics. 20. 100122–100122. 4 indexed citations

Paul, Sinu, Alba Grifoni, Bjoern Peters, & Alessandro Sette. (2020). Major Histocompatibility Complex Binding, Eluted Ligands, and Immunogenicity: Benchmark Testing and Predictions. Frontiers in Immunology. 10. 3151–3151. 20 indexed citations

Barra, Carolina, Bruno Alvarez, Sinu Paul, et al.. (2018). Footprints of antigen processing boost MHC class II natural ligand predictions. Genome Medicine. 10(1). 84–84. 61 indexed citations

Dhanda, Sandeep Kumar, Edita Karosiene, Alba Grifoni, et al.. (2018). Predicting HLA CD4 Immunogenicity in Human Populations. Frontiers in Immunology. 9. 1369–1369. 100 indexed citations

Tian, Yuan, Ricardo da Silva Antunes, John Sidney, et al.. (2018). A Review on T Cell Epitopes Identified Using Prediction and Cell-Mediated Immune Models for Mycobacterium tuberculosis and Bordetella pertussis. Frontiers in Immunology. 9. 2778–2778. 26 indexed citations

Paul, Sinu, Edita Karosiene, Sandeep Kumar Dhanda, et al.. (2018). Determination of a Predictive Cleavage Motif for Eluted Major Histocompatibility Complex Class II Ligands. Frontiers in Immunology. 9. 1795–1795. 39 indexed citations

Jurtz, Vanessa, Sinu Paul, Massimo Andreatta, et al.. (2017). NetMHCpan-4.0: Improved Peptide–MHC Class I Interaction Predictions Integrating Eluted Ligand and Peptide Binding Affinity Data. The Journal of Immunology. 199(9). 3360–3368. 888 indexed citations breakdown →

Antunes, Ricardo da Silva, Sinu Paul, John Sidney, et al.. (2017). Definition of Human Epitopes Recognized in Tetanus Toxoid and Development of an Assay Strategy to Detect Ex Vivo Tetanus CD4+ T Cell Responses. PLoS ONE. 12(1). e0169086–e0169086. 41 indexed citations

10.

Skevaki, Chrysanthi, Christoph Hudemann, Mikhail Matrosovich, et al.. (2017). Influenza-derived peptides cross-react with allergens and provide asthma protection. Journal of Allergy and Clinical Immunology. 142(3). 804–814. 28 indexed citations

11.

Piontkivska, Helen, et al.. (2016). Role of Host-Driven Mutagenesis in Determining Genome Evolution of Sigma Virus (DMelSV; Rhabdoviridae) inDrosophila melanogaster. Genome Biology and Evolution. 8(9). 2952–2963. 10 indexed citations

12.

Weiskopf, Daniela, Michael A. Angelo, Alba Grifoni, et al.. (2016). HLA-DRB1 Alleles Are Associated With Different Magnitudes of Dengue Virus–Specific CD4 ⁺ T-Cell Responses. The Journal of Infectious Diseases. 214(7). 1117–1124. 65 indexed citations

13.

Oseroff, Carla, John Pham, April Frazier, et al.. (2016). Immunodominance in allergic T-cell reactivity to Japanese cedar in different geographic cohorts. Annals of Allergy Asthma & Immunology. 117(6). 680–689.e1. 6 indexed citations

14.

Dillon, Myles, Ricardo da Silva Antunes, Sinu Paul, et al.. (2016). Th1 versus Th2 T cell polarization by whole-cell and acellular childhood pertussis vaccines persists upon re-immunization in adolescence and adulthood. Cellular Immunology. 304-305. 35–43. 68 indexed citations

15.

Pro, Sebastian Carrasco, John Sidney, Sinu Paul, et al.. (2015). Automatic Generation of Validated Specific Epitope Sets. Journal of Immunology Research. 2015. 1–11. 55 indexed citations

16.

Weiskopf, Daniela, Cristhiam Cerpas, Michael A. Angelo, et al.. (2015). Human CD8⁺T-Cell Responses Against the 4 Dengue Virus Serotypes Are Associated With Distinct Patterns of Protein Targets. The Journal of Infectious Diseases. 212(11). 1743–1751. 104 indexed citations

17.

Paul, Sinu, Cecilia S. Lindestam Arlehamn, Thomas J. Scriba, et al.. (2015). Development and validation of a broad scheme for prediction of HLA class II restricted T cell epitopes. Journal of Immunological Methods. 422. 28–34. 138 indexed citations

18.

Paul, Sinu, Ravi V. Kolla, John Sidney, et al.. (2013). Evaluating the Immunogenicity of Protein Drugs by ApplyingIn VitroMHC Binding Data and the Immune Epitope Database and Analysis Resource. SHILAP Revista de lepidopterología. 2013. 1–7. 49 indexed citations

19.

Paul, Sinu & Helen Piontkivska. (2010). Frequent associations between CTL and T-Helper epitopes in HIV-1 genomes and implications for multi-epitope vaccine designs. BMC Microbiology. 10(1). 212–212. 12 indexed citations

20.

Paul, Sinu & Helen Piontkivska. (2009). Discovery of novel targets for multi-epitope vaccines: Screening of HIV-1 genomes using association rule mining. Retrovirology. 6(1). 62–62. 10 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