Kyle G. Daniels

476 total citations
10 papers, 324 citations indexed

About

Kyle G. Daniels is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Kyle G. Daniels has authored 10 papers receiving a total of 324 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Oncology and 4 papers in Immunology. Recurrent topics in Kyle G. Daniels's work include CAR-T cell therapy research (4 papers), Protein Structure and Dynamics (3 papers) and Enzyme Structure and Function (3 papers). Kyle G. Daniels is often cited by papers focused on CAR-T cell therapy research (4 papers), Protein Structure and Dynamics (3 papers) and Enzyme Structure and Function (3 papers). Kyle G. Daniels collaborates with scholars based in United States. Kyle G. Daniels's co-authors include Sara Capponi, Terrence G. Oas, Wendell A. Lim, Erin C Strickland, Ying Xu, Michael C. Fitzgerald, Patrick D. DeArmond, Milos Simic, Wei Yu and Simone Bianco and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Kyle G. Daniels

9 papers receiving 320 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kyle G. Daniels United States	8	208	87	63	49	47	10	324
Paolo Conflitti Italy	10	239 1.1×	35 0.4×	34 0.5×	21 0.4×	20 0.4×	17	344
Kari Kopra Finland	12	374 1.8×	55 0.6×	36 0.6×	15 0.3×	41 0.9×	40	438
D.J.R. Pugh South Africa	10	416 2.0×	98 1.1×	21 0.3×	41 0.8×	15 0.3×	13	516
Elizabeth A. Blackburn United Kingdom	15	433 2.1×	95 1.1×	20 0.3×	52 1.1×	24 0.5×	33	566
Jonathan S. Kingsbury United States	12	398 1.9×	48 0.6×	52 0.8×	43 0.9×	21 0.4×	19	444
Marc Kipping Germany	8	395 1.9×	137 1.6×	25 0.4×	117 2.4×	92 2.0×	14	490
Craig J. Markin Canada	9	300 1.4×	43 0.5×	47 0.7×	18 0.4×	23 0.5×	14	374
Weiyao Hong China	6	339 1.6×	41 0.5×	39 0.6×	32 0.7×	23 0.5×	7	398
Brett N. Olsen United States	12	423 2.0×	22 0.3×	44 0.7×	30 0.6×	17 0.4×	16	531
Sergey A. Goncharuk Russia	13	334 1.6×	38 0.4×	21 0.3×	87 1.8×	15 0.3×	43	456

Countries citing papers authored by Kyle G. Daniels

Since Specialization

Citations

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

Fields of papers citing papers by Kyle G. Daniels

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kyle G. Daniels. 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 Kyle G. Daniels. The network helps show where Kyle G. Daniels may publish in the future.

Co-authorship network of co-authors of Kyle G. Daniels

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

All Works

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10 of 10 papers shown

Bailey, Stefanie R., Eric Bartee, Kyle G. Daniels, et al.. (2025). Constructing the cure: engineering the next wave of antibody and cellular immune therapies. Journal for ImmunoTherapy of Cancer. 13(8). e011761–e011761.

Capponi, Sara & Kyle G. Daniels. (2023). Harnessing the power of artificial intelligence to advance cell therapy. Immunological Reviews. 320(1). 147–165. 24 indexed citations

Daniels, Kyle G., Shangying Wang, Milos Simic, et al.. (2022). Decoding CAR T cell phenotype using combinatorial signaling motif libraries and machine learning. Science. 378(6625). 1194–1200. 78 indexed citations

O’Donoghue, Geoff P., Lukasz J. Bugaj, Warren Anderson, et al.. (2021). T cells selectively filter oscillatory signals on the minutes timescale. Proceedings of the National Academy of Sciences. 118(9). 35 indexed citations

Daniels, Kyle G., Yang Suo, & Terrence G. Oas. (2015). Conformational kinetics reveals affinities of protein conformational states. Proceedings of the National Academy of Sciences. 112(30). 9352–9357. 27 indexed citations

Deis, L.N., Qinglin Wu, You Wang, et al.. (2015). Suppression of conformational heterogeneity at a protein–protein interface. Proceedings of the National Academy of Sciences. 112(29). 9028–9033. 27 indexed citations

Daniels, Kyle G., et al.. (2015). Electrostatic Energetics of Bacillus subtilis Ribonuclease P Protein Determined by Nuclear Magnetic Resonance-Based Histidine pK_a Measurements. Biochemistry. 54(35). 5379–5388. 2 indexed citations

Daniels, Kyle G., Nam K. Tonthat, Yu‐Chu Chang, et al.. (2013). Ligand Concentration Regulates the Pathways of Coupled Protein Folding and Binding. Journal of the American Chemical Society. 136(3). 822–825. 54 indexed citations

DeArmond, Patrick D., Ying Xu, Erin C Strickland, Kyle G. Daniels, & Michael C. Fitzgerald. (2011). Thermodynamic Analysis of Protein–Ligand Interactions in Complex Biological Mixtures using a Shotgun Proteomics Approach. Journal of Proteome Research. 10(11). 4948–4958. 67 indexed citations

10.

Daniels, Kyle G. & Dorothy Beckett. (2010). Biochemical Properties and Biological Function of a Monofunctional Microbial Biotin Protein Ligase. Biochemistry. 49(25). 5358–5365. 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.

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