Christopher J. Fong

3.1k total citations
20 papers, 551 citations indexed

About

Christopher J. Fong is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Physiology. According to data from OpenAlex, Christopher J. Fong has authored 20 papers receiving a total of 551 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Pulmonary and Respiratory Medicine, 5 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Physiology. Recurrent topics in Christopher J. Fong's work include Chronic Obstructive Pulmonary Disease (COPD) Research (6 papers), Neonatal Respiratory Health Research (5 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Christopher J. Fong is often cited by papers focused on Chronic Obstructive Pulmonary Disease (COPD) Research (6 papers), Neonatal Respiratory Health Research (5 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Christopher J. Fong collaborates with scholars based in United Kingdom, United States and South Africa. Christopher J. Fong's co-authors include Alison Dicker, James D. Chalmers, Andrew Cassidy, Holly R. Keir, Megan Crichton, Elizabeth Furrie, Stuart Schembri, G.G. Einarsson, Sara E. Marshall and Guillermo Suárez-Cuartín and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and Cancer Research.

In The Last Decade

Christopher J. Fong

19 papers receiving 546 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christopher J. Fong United Kingdom 9 287 169 140 88 81 20 551
Kim Hoenderdos United Kingdom 4 230 0.8× 137 0.8× 211 1.5× 96 1.1× 30 0.4× 10 513
Josiah E. Radder United States 12 182 0.6× 160 0.9× 93 0.7× 70 0.8× 11 0.1× 18 486
Jacqueline A. Jordan United States 8 84 0.3× 123 0.7× 161 1.1× 50 0.6× 13 0.2× 9 374
Tokuji Matsuba Japan 10 448 1.6× 232 1.4× 134 1.0× 93 1.1× 9 0.1× 17 749
Guogang Xie China 11 90 0.3× 167 1.0× 117 0.8× 42 0.5× 8 0.1× 23 472
P Jose United Kingdom 6 112 0.4× 45 0.3× 230 1.6× 234 2.7× 26 0.3× 10 475
Isabelle Pouliquen United States 15 291 1.0× 105 0.6× 158 1.1× 416 4.7× 43 0.5× 33 717
Tsutomu Tamai Japan 14 43 0.1× 98 0.6× 52 0.4× 41 0.5× 26 0.3× 37 508
Yannick Renaud Canada 7 38 0.1× 59 0.3× 110 0.8× 196 2.2× 50 0.6× 8 440
Yingjiao Long China 13 159 0.6× 205 1.2× 41 0.3× 31 0.4× 13 0.2× 21 422

Countries citing papers authored by Christopher J. Fong

Since Specialization
Citations

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

Fields of papers citing papers by Christopher J. Fong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher J. Fong. 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 Christopher J. Fong. The network helps show where Christopher J. Fong may publish in the future.

Co-authorship network of co-authors of Christopher J. Fong

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

All Works

20 of 20 papers shown
1.
Kehl, Kenneth L., Justin Jee, Christopher J. Fong, et al.. (2024). Shareable artificial intelligence to extract cancer outcomes from electronic health records for precision oncology research. Nature Communications. 15(1). 9787–9787. 9 indexed citations
2.
Tran, Thinh Ngoc, Siyang Liu, Christopher J. Fong, et al.. (2023). Abstract 4259: Identification of anti-neoplastic therapy given before initial visit at a referral center using natural language processing applied to medical oncology initial consultation notes. Cancer Research. 83(7_Supplement). 4259–4259. 1 indexed citations
3.
Luo, Jia, R. Vanguri, Jacklynn V. Egger, et al.. (2022). Multimodal integration of radiology, pathology, and genomics for prediction of response to PD-1 blockade in patients with non–small cell lung cancer.. Journal of Clinical Oncology. 40(16_suppl). 9064–9064. 3 indexed citations
4.
Luthra, Anisha, Brooke Mastrogiacomo, Steven B. Maron, et al.. (2022). Abstract 1158: A.I.-assisted clinical data curation to determine genomic biomarkers of cancer metastasis. Cancer Research. 82(12_Supplement). 1158–1158. 1 indexed citations
5.
Gian, Richard Kinh, Pamela Causa Andrieu, Anisha Luthra, et al.. (2021). Patterns of Metastatic Disease in Patients with Cancer Derived from Natural Language Processing of Structured CT Radiology Reports over a 10-year Period. Radiology. 301(1). 115–122. 39 indexed citations
6.
Attalla, Kyrollis, Renzo G. DiNatale, Phillip M. Rappold, et al.. (2021). Prevalence and Landscape of Actionable Genomic Alterations in Renal Cell Carcinoma. Clinical Cancer Research. 27(20). 5595–5606. 11 indexed citations
7.
Hamada, Yohhei, Christopher J. Fong, Andrew Copas, John R. Hurst, & Molebogeng X. Rangaka. (2021). Risk for development of active tuberculosis in patients with chronic airway disease—a systematic review of evidence. Transactions of the Royal Society of Tropical Medicine and Hygiene. 116(5). 390–398. 7 indexed citations
8.
Dicker, Alison, Jeffrey Huang, Mike Lonergan, et al.. (2020). The sputum microbiome, airway inflammation, and mortality in chronic obstructive pulmonary disease. Journal of Allergy and Clinical Immunology. 147(1). 158–167. 129 indexed citations
9.
Hakimi, A. Ari, Kyrollis Attalla, Renzo G. DiNatale, et al.. (2020). A pan-cancer analysis of PBAF complex mutations and their association with immunotherapy response. Nature Communications. 11(1). 4168–4168. 44 indexed citations
10.
Attalla, Kyrollis, Renzo G. DiNatale, Eduard Reznik, et al.. (2020). Prevalence and landscape of actionable genomic alterations in renal cell carcinoma.. Journal of Clinical Oncology. 38(6_suppl). 616–616. 1 indexed citations
11.
Tsim, Selina, Douglas Cartwright, Christopher J. Fong, et al.. (2019). Baseline predictors of negative and incomplete pleural cytology in patients with suspected pleural malignancy – Data supporting ‘Direct to LAT’ in selected groups. Lung Cancer. 133. 123–129. 19 indexed citations
12.
Keir, Holly R., Christopher J. Fong, Megan Crichton, et al.. (2019). Personalised anti-inflammatory therapy for bronchiectasis and cystic fibrosis: selecting patients for controlled trials of neutrophil elastase inhibition. ERJ Open Research. 5(1). 252–2018. 20 indexed citations
13.
Dicker, Alison, Mike Lonergan, Holly R. Keir, et al.. (2019). Lung microbiome dysbiosis is associated with mortality in COPD. OA3581–OA3581. 1 indexed citations
14.
Keir, Holly R., Christopher J. Fong, Brandon Tan, et al.. (2019). Neutrophil extracellular traps and the lung microbiome in bronchiectasis. OA5142–OA5142. 2 indexed citations
15.
Dicker, Alison, Megan Crichton, Andrew Cassidy, et al.. (2017). Neutrophil extracellular traps are associated with disease severity and microbiota diversity in patients with chronic obstructive pulmonary disease. Journal of Allergy and Clinical Immunology. 141(1). 117–127. 200 indexed citations
16.
Keir, Holly R., Christopher J. Fong, Alison Dicker, & James D. Chalmers. (2017). Profile of the ProAxsis active neutrophil elastase immunoassay for precision medicine in chronic respiratory disease. Expert Review of Molecular Diagnostics. 17(10). 875–884. 8 indexed citations
17.
18.
Dicker, Alison, Christopher J. Fong, Megan Crichton, et al.. (2016). Altered lung microbiota profiles are associated with disease severity, exacerbation frequency and neutrophilic inflammation in bronchiectasis: B16. CYSTIC FIBROSIS (CF) AND NON-CF BRONCHIECTASIS. 1 indexed citations
19.
Bay, Boon‐Huat, Yawen Chan, Christopher J. Fong, & Hon S. Leong. (1997). Differential cellular zinc levels in metastatic and primary nasopharyngeal carcinoma. International Journal of Oncology. 11(4). 745–8. 6 indexed citations
20.
Fong, Christopher J., et al.. (1992). Diet as a source of phospholipid esterified 9,11-octadecadienoic acid in humans. Clinical Science. 83(1). 97–101. 49 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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