Fai Chung

456 total citations
11 papers, 353 citations indexed

About

Fai Chung is a scholar working on Oncology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Fai Chung has authored 11 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 5 papers in Surgery and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Fai Chung's work include HER2/EGFR in Cancer Research (3 papers), Neuroendocrine Tumor Research Advances (2 papers) and Urinary and Genital Oncology Studies (2 papers). Fai Chung is often cited by papers focused on HER2/EGFR in Cancer Research (3 papers), Neuroendocrine Tumor Research Advances (2 papers) and Urinary and Genital Oncology Studies (2 papers). Fai Chung collaborates with scholars based in United States. Fai Chung's co-authors include Shikha Bose, Ann E. Walts, Hanlin L. Wang, Bonnie Balzer, Ruta Gupta, Alberto M. Marchevsky, Richard B. Mertens, Jean Lopategui, Farahnaz Forozan and Deepti Dhall and has published in prestigious journals such as The American Journal of Surgical Pathology, Journal of Clinical Pathology and Human Pathology.

In The Last Decade

Fai Chung

11 papers receiving 342 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fai Chung United States 11 181 140 118 82 58 11 353
Jonathan Rock United States 12 186 1.0× 107 0.8× 163 1.4× 47 0.6× 44 0.8× 15 373
Dennis Peters Netherlands 11 265 1.5× 74 0.5× 229 1.9× 141 1.7× 160 2.8× 19 568
M. J. Payan France 11 217 1.2× 90 0.6× 217 1.8× 46 0.6× 41 0.7× 24 375
Sumika Matsukita Japan 8 99 0.5× 33 0.2× 110 0.9× 49 0.6× 106 1.8× 12 283
Satoru Yasukawa Japan 13 221 1.2× 59 0.4× 157 1.3× 129 1.6× 56 1.0× 34 361
Luisa Circelli Italy 14 220 1.2× 108 0.8× 71 0.6× 45 0.5× 112 1.9× 23 433
Alicia Córdoba Spain 12 135 0.7× 79 0.6× 59 0.5× 83 1.0× 130 2.2× 42 399
Joanna Huszno Poland 11 193 1.1× 40 0.3× 61 0.5× 146 1.8× 131 2.3× 37 425
Patrizia Dadati Italy 8 145 0.8× 181 1.3× 68 0.6× 31 0.4× 36 0.6× 8 398
Ivana Ilić Croatia 10 100 0.6× 44 0.3× 29 0.2× 59 0.7× 61 1.1× 39 288

Countries citing papers authored by Fai Chung

Since Specialization
Citations

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

Fields of papers citing papers by Fai Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fai Chung

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

All Works

11 of 11 papers shown
1.
Chopra, Shefali, Jianyu Rao, David Lieu, et al.. (2020). NOR-1 distinguishes acinic cell carcinoma from its mimics on fine-needle aspiration biopsy specimens. Human Pathology. 102. 1–6. 20 indexed citations
2.
Mohanty, Sambit K., et al.. (2016). Effect of Hydrochloric Acid Decalcification on Expression Pattern of Prognostic Markers in Invasive Breast Carcinomas. Applied immunohistochemistry & molecular morphology. 25(2). 144–149. 13 indexed citations
3.
Lai, Jinping, Richard B. Mertens, James Mirocha, et al.. (2014). Comparison of PAX6 and PAX8 as Immunohistochemical Markers for Pancreatic Neuroendocrine Tumors. Endocrine Pathology. 26(1). 54–62. 27 indexed citations
4.
Smith, Steven C., Sambit K. Mohanty, Lakshmi P. Kunju, et al.. (2014). Uroplakin II outperforms uroplakin III in diagnostically challenging settings. Histopathology. 65(1). 132–138. 36 indexed citations
7.
Dhall, Deepti, Richard B. Mertens, Catherine Bresee, et al.. (2011). Ki-67 proliferative index predicts progression-free survival of patients with well-differentiated ileal neuroendocrine tumors. Human Pathology. 43(4). 489–495. 66 indexed citations
8.
Chan, Owen, Zongming E. Chen, Fai Chung, et al.. (2010). Lack of HER2 Overexpression and Amplification in Small Intestinal Adenocarcinoma. American Journal of Clinical Pathology. 134(6). 880–885. 14 indexed citations
9.
Chung, Fai, et al.. (2009). Expression of Hepatocyte Antigen in Small Intestinal Epithelium and Adenocarcinoma. American Journal of Clinical Pathology. 132(1). 80–85. 19 indexed citations
10.
Gupta, Ruta, et al.. (2008). Evaluation of EGFR abnormalities in patients with pulmonary adenocarcinoma: the need to test neoplasms with more than one method. Modern Pathology. 22(1). 128–133. 55 indexed citations
11.
Walts, Ann E., et al.. (2008). BD ProEx C: A Sensitive and Specific Marker of HPV-associated Squamous Lesions of the Cervix. The American Journal of Surgical Pathology. 32(6). 899–906. 67 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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