Ankur Dhanik

804 total citations
16 papers, 374 citations indexed

About

Ankur Dhanik is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Ankur Dhanik has authored 16 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Oncology and 5 papers in Immunology. Recurrent topics in Ankur Dhanik's work include vaccines and immunoinformatics approaches (5 papers), CAR-T cell therapy research (4 papers) and Computational Drug Discovery Methods (4 papers). Ankur Dhanik is often cited by papers focused on vaccines and immunoinformatics approaches (5 papers), CAR-T cell therapy research (4 papers) and Computational Drug Discovery Methods (4 papers). Ankur Dhanik collaborates with scholars based in United States, Singapore and India. Ankur Dhanik's co-authors include Lydia E. Kavraki, John S. McMurray, Jean‐Claude Latombe, Henry van den Bedem, Ashley M. Deacon, Wen Zhang, Gavin Thurston, Lynn E. Macdonald, Namita T. Gupta and Gurinder S. Atwal and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and Cancer Research.

In The Last Decade

Ankur Dhanik

16 papers receiving 363 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ankur Dhanik United States	9	255	103	83	70	48	16	374
Pemra Özbek Türkiye	10	281 1.1×	56 0.5×	36 0.4×	26 0.4×	40 0.8×	39	419
Leon Bichmann Germany	8	274 1.1×	49 0.5×	41 0.5×	41 0.6×	32 0.7×	14	357
Elizabeth A. Blackburn United Kingdom	15	433 1.7×	52 0.5×	41 0.5×	95 1.4×	12 0.3×	33	566
Andrey Alekseenko Russia	10	201 0.8×	14 0.1×	46 0.6×	21 0.3×	36 0.8×	31	322
Thanh Nguyen Australia	12	290 1.1×	31 0.3×	48 0.6×	23 0.3×	27 0.6×	28	450
Shourya S. Roy Burman United States	10	264 1.0×	22 0.2×	44 0.5×	48 0.7×	28 0.6×	14	314
Yukang Gong China	12	336 1.3×	55 0.5×	62 0.7×	49 0.7×	16 0.3×	12	540
Sue Zhang United States	11	131 0.5×	43 0.4×	14 0.2×	62 0.9×	19 0.4×	26	449
Suntara Cahya United States	10	117 0.5×	61 0.6×	33 0.4×	39 0.6×	76 1.6×	14	278
R T Smith United States	9	136 0.5×	125 1.2×	26 0.3×	106 1.5×	68 1.4×	19	402

Countries citing papers authored by Ankur Dhanik

Since Specialization

Citations

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

Fields of papers citing papers by Ankur Dhanik

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ankur Dhanik

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

All Works

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16 of 16 papers shown

Klein, Joshua S., Daniel J. Sprague, Meghan G. Hart, et al.. (2024). Abstract 904: AI platform provides an EDGE and enables state-of-the-art identification of peptide-HLAs for the development of T cell inducing vaccines. Cancer Research. 84(6_Supplement). 904–904. 1 indexed citations

Dhanik, Ankur, Wei Keat Lim, Christina Adler, et al.. (2023). Spontaneous tumor regression mediated by human T cells in a humanized immune system mouse model. Communications Biology. 6(1). 444–444. 3 indexed citations

Deering, Raquel P., Lili M. Blumenberg, Lianjie Li, et al.. (2023). Rapid TCR:Epitope Ranker (RAPTER): a primary human T cell reactivity screening assay pairing epitope and TCR at single cell resolution. Scientific Reports. 13(1). 8452–8452. 3 indexed citations

Zhang, Wen, Namita T. Gupta, Calvin Chen, et al.. (2021). A framework for highly multiplexed dextramer mapping and prediction of T cell receptor sequences to antigen specificity. Science Advances. 7(20). 69 indexed citations

Dhanik, Ankur, et al.. (2020). Proteogenomics and de novo sequencing based approach for neoantigen discovery from the immunopeptidomes of patient CRC liver metastases using Mass Spectrometry. The Journal of Immunology. 204(1_Supplement). 217.16–217.16. 6 indexed citations

Ye, Xuan, Janelle Waite, Ankur Dhanik, et al.. (2020). Endogenous retroviral proteins provide an immunodominant but not requisite antigen in a murine immunotherapy tumor model. OncoImmunology. 9(1). 1758602–1758602. 17 indexed citations

Dhanik, Ankur, Jessica R. Kirshner, Douglas MacDonald, et al.. (2016). In-silico discovery of cancer-specific peptide-HLA complexes for targeted therapy. BMC Bioinformatics. 17(1). 286–286. 13 indexed citations

Mandal, Pijus K., Pietro Morlacchi, John Knight, et al.. (2015). Targeting the Src Homology 2 (SH2) Domain of Signal Transducer and Activator of Transcription 6 (STAT6) with Cell-Permeable, Phosphatase-Stable Phosphopeptide Mimics Potently Inhibits Tyr641 Phosphorylation and Transcriptional Activity. Journal of Medicinal Chemistry. 58(22). 8970–8984. 36 indexed citations

Dhanik, Ankur, John S. McMurray, & Lydia E. Kavraki. (2013). DINC: A new AutoDock-based protocol for docking large ligands. BMC Structural Biology. 13(S1). S11–S11. 41 indexed citations

10.

Dhanik, Ankur, John S. McMurray, & Lydia E. Kavraki. (2012). Binding Modes of Peptidomimetics Designed to Inhibit STAT3. PLoS ONE. 7(12). e51603–e51603. 26 indexed citations

11.

Dhanik, Ankur, John S. McMurray, & Lydia E. Kavraki. (2012). Auto dock-based incremental docking protocol to improve docking of large ligands. 48–55. 7 indexed citations

12.

Dhanik, Ankur, John S. McMurray, & Lydia E. Kavraki. (2011). On modeling peptidomimetics in complex with the SH2 domain of Stat3. PubMed. 14. 3229–3232. 3 indexed citations

13.

Bedem, Henry van den, Ankur Dhanik, Jean‐Claude Latombe, & Ashley M. Deacon. (2009). Modeling discrete heterogeneity in X-ray diffraction data by fitting multi-conformers. Acta Crystallographica Section D Biological Crystallography. 65(10). 1107–1117. 88 indexed citations

14.

Dhanik, Ankur, et al.. (2008). Efficient Algorithms to Explore Conformation Spaces of Flexible Protein Loops. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 5(4). 534–545. 35 indexed citations

15.

Burdet, Etienne, et al.. (2005). Dynamic Thread for Real-Time Knot-Tying. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 507–508. 22 indexed citations

16.

Yin, Jun, Ankur Dhanik, David Hsu, & Ye Wang. (2004). The creation of a music-driven digital violinist. 476–479. 4 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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