Hong Hoi Ting

494 total citations
9 papers, 388 citations indexed

About

Hong Hoi Ting is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Molecular Biology. According to data from OpenAlex, Hong Hoi Ting has authored 9 papers receiving a total of 388 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Oncology and 4 papers in Molecular Biology. Recurrent topics in Hong Hoi Ting's work include Monoclonal and Polyclonal Antibodies Research (6 papers), Radiopharmaceutical Chemistry and Applications (5 papers) and Cancer Immunotherapy and Biomarkers (3 papers). Hong Hoi Ting is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (6 papers), Radiopharmaceutical Chemistry and Applications (5 papers) and Cancer Immunotherapy and Biomarkers (3 papers). Hong Hoi Ting collaborates with scholars based in United Kingdom, Germany and China. Hong Hoi Ting's co-authors include Gregory Lee, Nicholas C.L. Wong, Chin-Hsiang Chien, Levente K. Meszaros, Gary Cook, Changchun Liu, Jinhua Zhao, Yan Xing, Lingzhou Zhao and Jim O’Doherty and has published in prestigious journals such as PLoS ONE, Journal of Nuclear Medicine and European Journal of Nuclear Medicine and Molecular Imaging.

In The Last Decade

Hong Hoi Ting

9 papers receiving 381 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hong Hoi Ting United Kingdom 7 249 186 158 104 42 9 388
Anneleen Blykers Belgium 6 295 1.2× 168 0.9× 138 0.9× 126 1.2× 38 0.9× 8 428
Nicholas C.L. Wong Hong Kong 7 164 0.7× 226 1.2× 171 1.1× 68 0.7× 40 1.0× 10 398
Jessica Bridoux Belgium 10 265 1.1× 197 1.1× 112 0.7× 95 0.9× 32 0.8× 17 374
Alexandra Huhalov United States 7 291 1.2× 199 1.1× 205 1.3× 60 0.6× 33 0.8× 13 383
Peter Haytko United States 5 153 0.6× 173 0.9× 226 1.4× 78 0.8× 87 2.1× 9 372
Kelly Davis Orcutt United States 13 334 1.3× 155 0.8× 201 1.3× 57 0.5× 40 1.0× 25 510
Brandon M. Bordeau United States 10 201 0.8× 256 1.4× 101 0.6× 61 0.6× 48 1.1× 15 380
Danique Giesen Netherlands 7 195 0.8× 191 1.0× 42 0.3× 68 0.7× 57 1.4× 11 314
Susanne Mangold Germany 6 187 0.8× 242 1.3× 123 0.8× 141 1.4× 9 0.2× 8 353
Nicolle H. Rekers Netherlands 9 94 0.4× 220 1.2× 82 0.5× 169 1.6× 51 1.2× 12 368

Countries citing papers authored by Hong Hoi Ting

Since Specialization
Citations

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

Fields of papers citing papers by Hong Hoi Ting

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hong Hoi Ting. 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 Hong Hoi Ting. The network helps show where Hong Hoi Ting may publish in the future.

Co-authorship network of co-authors of Hong Hoi Ting

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

All Works

9 of 9 papers shown
1.
Nazir, Muhummad Sohaib, D.J. Hughes, Kathryn Adamson, et al.. (2023). [99mTc]-labelled anti-Programmed Death-Ligand 1 single-domain antibody SPECT/CT: a novel imaging biomarker for myocardial PD-L1 expression. EJNMMI Research. 13(1). 44–44. 4 indexed citations
2.
Sawmynaden, Kovilen, Nicholas C.L. Wong, Sarah L. Davies, et al.. (2023). Co-crystallisation and humanisation of an anti-HER2 single-domain antibody as a theranostic tool. PLoS ONE. 18(7). e0288259–e0288259. 2 indexed citations
3.
Wong, Nicholas C.L., Levente K. Meszaros, Hans‐Jürgen Biersack, et al.. (2021). Preclinical development and characterisation of 99mTc-NM-01 for SPECT/CT imaging of human PD-L1.. PubMed. 11(3). 154–166. 7 indexed citations
4.
Jokar, Narges, Irina Velikyan, Hojjat Ahmadzadehfar, et al.. (2021). Theranostic Approach in Breast Cancer. Clinical Nuclear Medicine. 46(8). e410–e420. 63 indexed citations
5.
Morgenroth, Agnieszka, Mohsen Beheshti, Andreas Vogg, et al.. (2020). HER2-directed antibodies, affibodies and nanobodies as drug-delivery vehicles in breast cancer with a specific focus on radioimmunotherapy and radioimmunoimaging. European Journal of Nuclear Medicine and Molecular Imaging. 48(5). 1371–1389. 79 indexed citations
6.
Xing, Yan, Changchun Liu, Gary Cook, et al.. (2019). Early Phase I Study of a 99mTc-Labeled Anti–Programmed Death Ligand-1 (PD-L1) Single-Domain Antibody in SPECT/CT Assessment of PD-L1 Expression in Non–Small Cell Lung Cancer. Journal of Nuclear Medicine. 60(9). 1213–1220. 125 indexed citations
7.
Zhang, Haisong, Youzhao Wang, Hong Hoi Ting, et al.. (2014). Purified anti-CD3 × anti-HER2 bispecific antibody potentiates cytokine-induced killer cells of poor spontaneous cytotoxicity against breast cancer cells. Cell & Bioscience. 4(1). 70–70. 7 indexed citations
8.
Lee, Gregory, Ruiai Chu, & Hong Hoi Ting. (2009). Preclinical assessment of anti-cancer drugs by using RP215 monoclonal antibody. Cancer Biology & Therapy. 8(2). 161–166. 37 indexed citations
9.
Lee, Gregory, et al.. (2008). Molecular identity of a pan cancer marker, CA215. Cancer Biology & Therapy. 7(12). 2007–2014. 64 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

Rankless by CCL
2026