D. Cheng

1.6k total citations
10 papers, 389 citations indexed

About

D. Cheng is a scholar working on Radiology, Nuclear Medicine and Imaging, General Health Professions and Public Health, Environmental and Occupational Health. According to data from OpenAlex, D. Cheng has authored 10 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Radiology, Nuclear Medicine and Imaging, 2 papers in General Health Professions and 2 papers in Public Health, Environmental and Occupational Health. Recurrent topics in D. Cheng's work include Retinal Imaging and Analysis (2 papers), Health and Medical Research Impacts (2 papers) and Dementia and Cognitive Impairment Research (2 papers). D. Cheng is often cited by papers focused on Retinal Imaging and Analysis (2 papers), Health and Medical Research Impacts (2 papers) and Dementia and Cognitive Impairment Research (2 papers). D. Cheng collaborates with scholars based in United States, Netherlands and United Kingdom. D. Cheng's co-authors include Paul B. Greenberg, Kevin Tang, Ian Pan, Felipe Kitamura, David A. Borton, Louisa I. Thompson, Peter J. Snyder, Stephen Salloway, M. Francesca Cordeiro and Danielle Goldfarb and has published in prestigious journals such as SHILAP Revista de lepidopterología, Stroke and Alzheimer s & Dementia.

In The Last Decade

D. Cheng

9 papers receiving 382 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
D. Cheng United States	7	114	83	81	74	62	10	389
Ethan Waisberg United States	17	305 2.7×	170 2.0×	54 0.7×	56 0.8×	327 5.3×	123	862
Nasif Zaman United States	16	261 2.3×	145 1.7×	56 0.7×	44 0.6×	262 4.2×	78	707
Vijay N. Tiwari India	15	113 1.0×	24 0.3×	26 0.3×	113 1.5×	28 0.5×	27	548
Masakazu Hirota Japan	12	161 1.4×	160 1.9×	34 0.4×	30 0.4×	24 0.4×	43	589
Bryce W. Polascik United States	10	399 3.5×	395 4.8×	24 0.3×	24 0.3×	47 0.8×	21	680
Jeremy Lynch United Kingdom	12	75 0.7×	15 0.2×	42 0.5×	182 2.5×	46 0.7×	27	542
Phani Paladugu United States	11	107 0.9×	60 0.7×	15 0.2×	21 0.3×	105 1.7×	40	295
Megumi Ota Japan	10	108 0.9×	155 1.9×	37 0.5×	72 1.0×	52 0.8×	23	478
Chris Bradley United States	13	148 1.3×	208 2.5×	21 0.3×	34 0.5×	11 0.2×	50	517
Deepthi Rajashekar Canada	14	126 1.1×	10 0.1×	92 1.1×	13 0.2×	55 0.9×	35	636

Countries citing papers authored by D. Cheng

Since Specialization

Citations

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

Fields of papers citing papers by D. Cheng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Cheng

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Casey, Fergal, Jing Zhu, Yu Sun, et al.. (2022). OmicsView: Omics data analysis through interactive visual analytics. Computational and Structural Biotechnology Journal. 20. 1277–1285. 2 indexed citations

2.

Tang, Kevin, D. Cheng, Wen‐Chih Wu, & Paul B. Greenberg. (2020). Example-Based Learning as a Guide for Revising a Peer-Reviewed Manuscript. Medical Science Educator. 30(3). 1263–1266.

3.

Cheng, D., et al.. (2020). Deep Learning in Neuroradiology: A Systematic Review of Current Algorithms and Approaches for the New Wave of Imaging Technology. Radiology Artificial Intelligence. 2(2). e190026–e190026. 62 indexed citations

4.

Alber, Jessica, Danielle Goldfarb, Louisa I. Thompson, et al.. (2020). Developing retinal biomarkers for the earliest stages of Alzheimer's disease: What we know, what we don't, and how to move forward. Alzheimer s & Dementia. 16(1). 229–243. 104 indexed citations

5.

Cheng, D., Louisa I. Thompson, & Peter J. Snyder. (2019). A Potential Association Between Retinal Changes, Subjective Memory Impairment, and Anxiety in Older Adults at Risk for Alzheimer’s Disease: A 27-Month Pilot Study. Frontiers in Aging Neuroscience. 11. 288–288. 8 indexed citations

6.

Tang, Kevin, et al.. (2019). Augmented reality in medical education: a systematic review. SHILAP Revista de lepidopterología. 11(1). e81–e96. 145 indexed citations

7.

Grory, Brian Mac, et al.. (2019). Toxoplasma Neuroretinitis.. PubMed. 102(2). 39–40. 1 indexed citations

8.

Grory, Brian Mac, et al.. (2019). Ischemic Stroke and Internal Carotid Artery Web. Stroke. 50(2). e31–e34. 14 indexed citations

9.

Cheng, D., et al.. (2018). Twelve tips for medical students to conduct a systematic review. Medical Teacher. 41(4). 471–475. 12 indexed citations

10.

Cheng, D., Paul B. Greenberg, & David A. Borton. (2017). Advances in Retinal Prosthetic Research: A Systematic Review of Engineering and Clinical Characteristics of Current Prosthetic Initiatives. Current Eye Research. 42(3). 334–347. 41 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