Daniel Kwon

760 total citations · 1 hit paper
16 papers, 537 citations indexed

About

Daniel Kwon is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging and Immunology. According to data from OpenAlex, Daniel Kwon has authored 16 papers receiving a total of 537 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 5 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Immunology. Recurrent topics in Daniel Kwon's work include Chemokine receptors and signaling (4 papers), Peptidase Inhibition and Analysis (4 papers) and Immunotherapy and Immune Responses (4 papers). Daniel Kwon is often cited by papers focused on Chemokine receptors and signaling (4 papers), Peptidase Inhibition and Analysis (4 papers) and Immunotherapy and Immune Responses (4 papers). Daniel Kwon collaborates with scholars based in Canada, United States and Australia. Daniel Kwon's co-authors include François Bénard, Kuo‐Shyan Lin, Robert Britton, Michael Holmes, Joseph Lau, Daniel A. DiRocco, Erik L. Regalado, Shira D. Halperin, Louis‐Charles Campeau and Étienne Rousseau and has published in prestigious journals such as Clinical Cancer Research, Nature Chemical Biology and Organic Letters.

In The Last Decade

Daniel Kwon

15 papers receiving 526 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.

Structure and activity of human TMPRSS2 protease implicated in SARS-CoV-2 activation

2022 134 citations Serap Beldar, Almagul Seitova et al. Nature Chemical Biology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Kwon Canada	11	150	113	108	99	94	16	537
Kuo‐Hsiang Chuang Taiwan	14	51 0.3×	91 0.8×	79 0.7×	321 3.2×	38 0.4×	32	605
Dian Xiao China	15	72 0.5×	204 1.8×	270 2.5×	262 2.6×	75 0.8×	26	706
Jianbo Liu China	13	89 0.6×	28 0.2×	83 0.8×	159 1.6×	61 0.6×	43	423
Р. С. Есипов Russia	15	72 0.5×	36 0.3×	79 0.7×	537 5.4×	140 1.5×	103	713
Fabio Bignami Italy	12	73 0.5×	218 1.9×	110 1.0×	118 1.2×	21 0.2×	20	608
Allyn M. Kaufmann United States	7	32 0.2×	103 0.9×	47 0.4×	310 3.1×	40 0.4×	7	643
Lisa Urquhart	11	55 0.4×	118 1.0×	48 0.4×	261 2.6×	13 0.1×	27	470
Hanmant Gaikwad United States	13	254 1.7×	26 0.2×	48 0.4×	193 1.9×	18 0.2×	34	546
Christopher C. Lai United States	13	105 0.7×	88 0.8×	68 0.6×	165 1.7×	84 0.9×	24	432
Federica Bucci Italy	14	121 0.8×	31 0.3×	168 1.6×	428 4.3×	37 0.4×	18	622

Countries citing papers authored by Daniel Kwon

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Kwon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Kwon

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Kwon. A scholar is included among the top collaborators of Daniel Kwon 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 Daniel Kwon. Daniel Kwon 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:

16 of 16 papers shown

Kwon, Daniel, Margaret E. Daube-Witherspoon, Varsha Viswanath, et al.. (2025). Dual-Tracer Imaging on a Long–Axial-Field-of-View PET: A Proof-of-Principle Study with [¹⁸F]FGln and [¹⁸F]FDG. Journal of Nuclear Medicine. 66(7). jnumed.124.268831–jnumed.124.268831.

Kwon, Daniel, Katsuyoshi Takata, Zhengxing Zhang, et al.. (2022). Targeting Refractory Mantle Cell Lymphoma for Imaging and Therapy Using C-X-C Chemokine Receptor Type 4 Radioligands. Clinical Cancer Research. 28(8). 1628–1639. 8 indexed citations

Beldar, Serap, Almagul Seitova, Ashley Hutchinson, et al.. (2022). Structure and activity of human TMPRSS2 protease implicated in SARS-CoV-2 activation. Nature Chemical Biology. 18(9). 963–971. 134 indexed citations breakdown →

Kwon, Daniel, Zhengxing Zhang, Jutta Zeisler, et al.. (2022). Reducing the Kidney Uptake of High Contrast CXCR4 PET Imaging Agents via Linker Modifications. Pharmaceutics. 14(7). 1502–1502. 17 indexed citations

Kwon, Daniel, Hope Fan, Baldip Kang, et al.. (2021). Total synthesis of biselide A. Chemical Science. 12(15). 5534–5543. 10 indexed citations

Lau, Joseph, Étienne Rousseau, Daniel Kwon, et al.. (2020). Insight into the Development of PET Radiopharmaceuticals for Oncology. Cancers. 12(5). 1312–1312. 59 indexed citations

Kwon, Daniel, Jerome Lozada, Zhengxing Zhang, et al.. (2020). High-Contrast CXCR4-Targeted ¹⁸F-PET Imaging Using a Potent and Selective Antagonist. Molecular Pharmaceutics. 18(1). 187–197. 25 indexed citations

Lau, Joseph, Julie Rousseau, Daniel Kwon, François Bénard, & Kuo‐Shyan Lin. (2020). A Systematic Review of Molecular Imaging Agents Targeting Bradykinin B1 and B2 Receptors. Pharmaceuticals. 13(8). 199–199. 30 indexed citations

Rousseau, Étienne, Joseph Lau, Zhengxing Zhang, et al.. (2019). Comparison of biological properties of [¹⁷⁷Lu]Lu‐ProBOMB1 and [¹⁷⁷Lu]Lu‐NeoBOMB1 for GRPR targeting. Journal of Labelled Compounds and Radiopharmaceuticals. 63(2). 56–64. 11 indexed citations

10.

Lau, Joseph, Daniel Kwon, Étienne Rousseau, et al.. (2019). [⁶⁸Ga]Ga/[¹⁷⁷Lu]Lu-BL01, a Novel Theranostic Pair for Targeting C-X-C Chemokine Receptor 4. Molecular Pharmaceutics. 16(11). 4688–4695. 21 indexed citations

11.

Lau, Joseph, Étienne Rousseau, Zhengxing Zhang, et al.. (2019). Positron Emission Tomography Imaging of the Gastrin-Releasing Peptide Receptor with a Novel Bombesin Analogue. ACS Omega. 4(1). 1470–1478. 29 indexed citations

12.

Zhang, Zhengxing, Hsiou‐Ting Kuo, Chengcheng Zhang, et al.. (2017). Synthesis and evaluation of an ¹⁸F‐labeled trifluoroborate derivative of 2‐nitroimidazole for imaging tumor hypoxia with positron emission tomography. Journal of Labelled Compounds and Radiopharmaceuticals. 61(4). 370–379. 6 indexed citations

13.

Halperin, Shira D., Daniel Kwon, Michael Holmes, et al.. (2015). Development of a Direct Photocatalytic C–H Fluorination for the Preparative Synthesis of Odanacatib. Organic Letters. 17(21). 5200–5203. 133 indexed citations

14.

Holmes, Michael, et al.. (2015). Total Synthesis of Amphirionin-4. Organic Letters. 17(15). 3868–3871. 22 indexed citations

15.

Kwon, Daniel. (2014). Vulnerability Analysis and Risk Assessment: For Dynamic Nonmotorized Human Travel Activity Networks. 1 indexed citations

16.

Molesworth, Brett R. C., Marion Burgess, & Daniel Kwon. (2012). The use of noise cancelling headphones to improve concurrent task performance in a noisy environment. Applied Acoustics. 74(1). 110–115. 31 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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