Albert T. Young

1.5k total citations
27 papers, 868 citations indexed

About

Albert T. Young is a scholar working on Oncology, Surgery and Artificial Intelligence. According to data from OpenAlex, Albert T. Young has authored 27 papers receiving a total of 868 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 5 papers in Surgery and 5 papers in Artificial Intelligence. Recurrent topics in Albert T. Young's work include Cutaneous Melanoma Detection and Management (5 papers), AI in cancer detection (5 papers) and Virus-based gene therapy research (2 papers). Albert T. Young is often cited by papers focused on Cutaneous Melanoma Detection and Management (5 papers), AI in cancer detection (5 papers) and Virus-based gene therapy research (2 papers). Albert T. Young collaborates with scholars based in United States, United Kingdom and Canada. Albert T. Young's co-authors include Maria L. Wei, A. Bhattacharya, Dominic Amara, Jacob Pfau, Mulin Xiong, Michael J. Keiser, T L Benjamin, Andrew Wong, D L Lips and Frank R. Gorga and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Albert T. Young

26 papers receiving 845 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Albert T. Young United States	14	202	154	153	136	99	27	868
Luke Gompels United Kingdom	10	66 0.3×	180 1.2×	290 1.9×	70 0.5×	180 1.8×	13	1.0k
Wiebke Sondermann Germany	15	305 1.5×	213 1.4×	63 0.4×	58 0.4×	96 1.0×	55	874
Fernando Collado‐Mesa United States	14	151 0.7×	182 1.2×	97 0.6×	40 0.3×	243 2.5×	40	802
J Kunze Germany	10	48 0.2×	56 0.4×	145 0.9×	104 0.8×	57 0.6×	30	537
Mary Sun United States	9	129 0.6×	236 1.5×	106 0.7×	29 0.2×	202 2.0×	28	545
Lourdes M. Pérez-Chada United States	14	91 0.5×	46 0.3×	97 0.6×	38 0.3×	60 0.6×	65	762
Brigid Betz‐Stablein Australia	17	274 1.4×	110 0.7×	23 0.2×	121 0.9×	113 1.1×	60	1.0k
Michael Co Hong Kong	15	134 0.7×	50 0.3×	99 0.6×	22 0.2×	81 0.8×	56	738
Bethany Williams United Kingdom	16	239 1.2×	491 3.2×	91 0.6×	134 1.0×	293 3.0×	35	963
Zhengping Liu China	18	52 0.3×	200 1.3×	57 0.4×	281 2.1×	32 0.3×	85	1.5k

Countries citing papers authored by Albert T. Young

Since Specialization

Citations

This map shows the geographic impact of Albert T. Young'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 Albert T. Young with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Albert T. Young more than expected).

Fields of papers citing papers by Albert T. Young

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Albert T. Young. 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 Albert T. Young. The network helps show where Albert T. Young may publish in the future.

Co-authorship network of co-authors of Albert T. Young

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

All Works

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20 of 20 papers shown

Young, Albert T., Mark Gregory, Indra Adrianto, et al.. (2025). Patients with PSOriasis and Suppurative Hidradenitis (PSO-SH) share genetic risk factors and are at risk of increased morbidity. Journal of the American Academy of Dermatology. 92(6). 1303–1311. 1 indexed citations

Xiong, Mulin, et al.. (2024). Analysis of intestinal ostomy content on TikTok: The role of social media in countering fear and stigma. The American Journal of Surgery. 241. 116136–116136. 2 indexed citations

Young, Albert T., Kathy Lu, Iltefat Hamzavi, et al.. (2024). Infliximab shows superior drug survival among biologics for hidradenitis suppurativa: A cohort study. Journal of the American Academy of Dermatology. 92(1). 139–141.

Young, Albert T., et al.. (2023). Patients and dermatologists are largely satisfied with ChatGPT-generated after-visit summaries: A pilot study. JAAD International. 15. 33–35. 1 indexed citations

Young, Albert T., Xavier Carette, Hanno Steen, et al.. (2021). Multi-omic regulatory networks capture downstream effects of kinase inhibition in Mycobacterium tuberculosis. npj Systems Biology and Applications. 7(1). 8–8. 3 indexed citations

Young, Albert T., Dominic Amara, A. Bhattacharya, & Maria L. Wei. (2021). Patient and general public attitudes towards clinical artificial intelligence: a mixed methods systematic review. The Lancet Digital Health. 3(9). e599–e611. 167 indexed citations

Xiong, Mulin, et al.. (2021). A survey of gender-based barriers and misconceptions in surgery. SHILAP Revista de lepidopterología. 8. 100048–100048. 3 indexed citations

Young, Albert T., et al.. (2021). Stress testing reveals gaps in clinic readiness of image-based diagnostic artificial intelligence models. npj Digital Medicine. 4(1). 10–10. 32 indexed citations

Young, Albert T., et al.. (2020). Machine learning for the prediction of antimicrobial stewardship intervention in hospitalized patients receiving broad-spectrum agents. Infection Control and Hospital Epidemiology. 41(9). 1022–1027. 17 indexed citations

10.

Young, Albert T., Mulin Xiong, Jacob Pfau, Michael J. Keiser, & Maria L. Wei. (2020). Artificial Intelligence in Dermatology: A Primer. Journal of Investigative Dermatology. 140(8). 1504–1512. 131 indexed citations

11.

Young, Albert T., et al.. (2020). Idiopathic pure sudomotor failure: A review and two cases. International Journal of Women’s Dermatology. 7(3). 276–279. 2 indexed citations

12.

Xiong, Mulin, Jacob Pfau, Albert T. Young, & Maria L. Wei. (2019). Artificial Intelligence in Teledermatology. Current Dermatology Reports. 8(3). 85–90. 12 indexed citations

13.

Wong, Andrew, et al.. (2018). Development and Validation of an Electronic Health Record–Based Machine Learning Model to Estimate Delirium Risk in Newly Hospitalized Patients Without Known Cognitive Impairment. JAMA Network Open. 1(4). e181018–e181018. 99 indexed citations

14.

Law, Edith, et al.. (2013). Curio: A Platform for Supporting Mixed-Expertise Crowdsourcing. Proceedings of the AAAI Conference on Human Computation and Crowdsourcing. 1. 99–100. 14 indexed citations

15.

Arlett, C.F., L.K. Earl, J. Ferguson, et al.. (2006). British Photodermatology Group Workshop. Predictive in vitro methods for identifying photosensitizing drugs: a report. British Journal of Dermatology. 132(2). 271–274. 4 indexed citations

16.

Cook, Gary, et al.. (1998). [11C]Methionine positron emission tomography for patients with persistent or recurrent hyperparathyroidism after surgery. European Journal of Endocrinology. 139(2). 195–197. 36 indexed citations

17.

Young, Albert T.. (1996). One-stop breast clinics.. PubMed. 240(1566). 514–21. 3 indexed citations

18.

Young, Albert T., et al.. (1995). Phosphatidylinositol 3-kinase binding to polyoma virus middle tumor antigen mediates elevation of glucose transport by increasing translocation of the GLUT1 transporter.. Proceedings of the National Academy of Sciences. 92(25). 11613–11617. 17 indexed citations

19.

Young, Albert T., et al.. (1988). Strangulated Obturator Hernia. Southern Medical Journal. 81(9). 1117–1120. 20 indexed citations

20.

Yang, Rob, Albert T. Young, & Ruyan Wu. (1980). BK virus DNA sequence coding for the t and T antigens and evaluation of methods for determining sequence homology. Journal of Virology. 34(2). 416–430. 13 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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