David Chhieng

583 total citations
17 papers, 426 citations indexed

About

David Chhieng is a scholar working on Epidemiology, Molecular Biology and Surgery. According to data from OpenAlex, David Chhieng has authored 17 papers receiving a total of 426 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Epidemiology, 5 papers in Molecular Biology and 4 papers in Surgery. Recurrent topics in David Chhieng's work include Lymphadenopathy Diagnosis and Analysis (3 papers), Cervical Cancer and HPV Research (3 papers) and Alcohol Consumption and Health Effects (3 papers). David Chhieng is often cited by papers focused on Lymphadenopathy Diagnosis and Analysis (3 papers), Cervical Cancer and HPV Research (3 papers) and Alcohol Consumption and Health Effects (3 papers). David Chhieng collaborates with scholars based in United States, Australia and Jordan. David Chhieng's co-authors include Shannon M. Bailey, Elena Ulasova, Victor Darley‐Usmar, Nirag Jhala, Aparna Venkatraman, Sruti Shiva, Amanda F. Wigley, Scott W. Ballinger, Anita Pinner and Kusum K. Kharbanda and has published in prestigious journals such as Hepatology, Free Radical Biology and Medicine and American Journal of Physiology-Gastrointestinal and Liver Physiology.

In The Last Decade

David Chhieng

15 papers receiving 413 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David Chhieng United States	9	163	143	111	86	60	17	426
Sohelia Korourian United States	12	109 0.7×	336 2.3×	73 0.7×	37 0.4×	139 2.3×	14	560
Xuequn Zhang China	11	147 0.9×	27 0.2×	173 1.6×	37 0.4×	85 1.4×	19	526
Kai‐Ting Chang Taiwan	13	69 0.4×	28 0.2×	72 0.6×	94 1.1×	43 0.7×	22	524
Julia Kälsch Germany	14	221 1.4×	31 0.2×	112 1.0×	24 0.3×	76 1.3×	31	444
Geertruida N. Jonges Netherlands	10	78 0.5×	32 0.2×	146 1.3×	24 0.3×	69 1.1×	20	515
Kristine Villegas United States	6	146 0.9×	105 0.7×	124 1.1×	7 0.1×	55 0.9×	7	378
Hai Wu United States	13	95 0.6×	112 0.8×	145 1.3×	7 0.1×	135 2.3×	21	398
Joy Jiang United States	6	209 1.3×	44 0.3×	83 0.7×	11 0.1×	54 0.9×	9	388
Quanyuan Shan China	16	112 0.7×	67 0.5×	91 0.8×	43 0.5×	366 6.1×	32	941
Hiromi Ishii Japan	11	19 0.1×	137 1.0×	123 1.1×	67 0.8×	51 0.8×	17	587

Countries citing papers authored by David Chhieng

Since Specialization

Citations

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

Fields of papers citing papers by David Chhieng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Chhieng

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

All Works

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17 of 17 papers shown

Cozzolino, Immacolata, Mats Ehinger, Maria Calaminici, et al.. (2025). The World Health Organization Reporting System for Lymph Node, Spleen, and Thymus Cytopathology: Part 1 – Lymph Node. Acta Cytologica. 1–16.

Cozzolino, Immacolata, Maria Calaminici, Andrea Ronchi, et al.. (2025). The World Health Organization Reporting System for Lymph Node, Spleen, and Thymus Cytopathology: Part 2 – Spleen and Thymus. Acta Cytologica. 1–10.

Zeppa, Pio, Immacolata Cozzolino, Nancy P. Caraway, et al.. (2020). Announcement: The International System for Reporting Lymph Node Cytopathology. Acta Cytologica. 64(4). 299–305. 13 indexed citations

Al‐Abbadi, Mousa A., Helena Barroca, Beata Bode‐Lesniewska, et al.. (2020). A Proposal for the Performance, Classification, and Reporting of Lymph Node Fine-Needle Aspiration Cytopathology: The Sydney System. Acta Cytologica. 64(4). 306–322. 60 indexed citations

Henriksen, Jonathan C., Patrick J. Cimino, Caitlin S. Latimer, et al.. (2020). Rapid Validation of Telepathology by an Academic Neuropathology Practice During the COVID-19 Pandemic. Archives of Pathology & Laboratory Medicine. 144(11). 1311–1320. 12 indexed citations

Adeniran, Adebowale & David Chhieng. (2016). Common Diagnostic Pitfalls in Thyroid Cytopathology. DIAL (Catholic University of Leuven). 4 indexed citations

Levi, Angelique, et al.. (2014). Detection and Genotype of High Risk Human Papillomavirus in Fine Needle Aspirates of Patients with Metastatic Squamous Cell Carcinoma is Helpful in Determining Tumor Origin. Journal of the American Society of Cytopathology. 3(5). S49–S50. 1 indexed citations

Henderson‐Jackson, Evita, Joseph Johnson, Mark C. Lloyd, et al.. (2013). Diagnostic digital cytopathology: Are we ready yet?. Journal of Pathology Informatics. 4(1). 28–28. 30 indexed citations

Elsheikh, Tarik M., et al.. (2012). American society of cytopathology workload recommendations for automated pap test screening: Developed by the productivity and quality assurance in the era of automated screening task force. Diagnostic Cytopathology. 41(2). 174–178. 38 indexed citations

10.

Bailey, Shannon M., Sudheer K. Mantena, Nirag Jhala, et al.. (2009). Ethanol and tobacco smoke increase hepatic steatosis and hypoxia in the hypercholesterolemic apoE−/− mouse: Implications for a “multihit” hypothesis of fatty liver disease. Free Radical Biology and Medicine. 46(7). 928–938. 47 indexed citations

11.

Chhieng, David, Timothy Day, Geoff Gordon, & Joan Hicks. (2007). Use of natural language programming to extract medication from unstructured electronic medical records.. PubMed. 908–908. 15 indexed citations

12.

Chhieng, David, et al.. (2007). Predicting 5-year survival of colorectal carcinoma patients using data mining methods.. PubMed. 907–907. 1 indexed citations

13.

Bailey, Shannon M., Anita Pinner, Elena Ulasova, et al.. (2006). S-adenosylmethionine prevents chronic alcohol-induced mitochondrial dysfunction in the rat liver. American Journal of Physiology-Gastrointestinal and Liver Physiology. 291(5). G857–G867. 90 indexed citations

14.

Barnes, Mack N., David Chhieng, Jennifer L. Jones, et al.. (2005). Feasibility of performing chemoprevention trials in women at elevated risk of ovarian carcinoma: Initial examination of celecoxib as a chemopreventive agent. Gynecologic Oncology. 98(3). 376–382. 7 indexed citations

15.

Meleth, Sreelatha, Isam‐Eldin Eltoum, Zhu Liu, et al.. (2005). Novel approaches to smoothing and comparing SELDI TOF spectra.. PubMed. 1. 78–85. 8 indexed citations

16.

Meleth, Sreelatha, Isam‐Eldin Eltoum, Zhu Liu, et al.. (2005). Novel Approaches to Smoothing and Comparing SELDI TOF Spectra. Cancer Informatics. 1. 2816655108–2816655108. 6 indexed citations

17.

Venkatraman, Aparna, Sruti Shiva, Amanda F. Wigley, et al.. (2004). The role of iNOS in alcohol-dependent hepatotoxicity and mitochondrial dysfunction in mice. Hepatology. 40(3). 565–573. 94 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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