Yao Yan

774 total citations
11 papers, 328 citations indexed

About

Yao Yan is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Yao Yan has authored 11 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cellular and Molecular Neuroscience, 4 papers in Molecular Biology and 3 papers in Artificial Intelligence. Recurrent topics in Yao Yan's work include Neuroscience and Neuropharmacology Research (4 papers), Retinal Development and Disorders (3 papers) and Retinal Imaging and Analysis (2 papers). Yao Yan is often cited by papers focused on Neuroscience and Neuropharmacology Research (4 papers), Retinal Development and Disorders (3 papers) and Retinal Imaging and Analysis (2 papers). Yao Yan collaborates with scholars based in United States, China and Indonesia. Yao Yan's co-authors include Anita E. Hendrickson, J. F. M. van Brederode, Justin Guinney, Bradley Malin, Sean D. Mooney, Chao Yan, Larsson Omberg, Zhiyu Wan, David V. Pow and Daniel E. Possin and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and The Journal of Comparative Neurology.

In The Last Decade

Yao Yan

11 papers receiving 326 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yao Yan United States	8	122	98	67	47	44	11	328
Maxime Richer Canada	13	118 1.0×	227 2.3×	39 0.6×	40 0.9×	89 2.0×	26	651
Andrea Termine Italy	11	39 0.3×	149 1.5×	31 0.5×	193 4.1×	41 0.9×	35	546
Yolanda Aladro Spain	14	41 0.3×	43 0.4×	31 0.5×	10 0.2×	6 0.1×	55	556
Carlo Fabrizio Italy	10	35 0.3×	110 1.1×	12 0.2×	137 2.9×	41 0.9×	29	373
Claudia Cárcamo Chile	12	26 0.2×	146 1.5×	47 0.7×	40 0.9×	11 0.3×	28	485
Niamh Clarke Ireland	14	97 0.8×	112 1.1×	104 1.6×	35 0.7×	8 0.2×	24	518
Yu Raymond Shao United States	8	247 2.0×	140 1.4×	111 1.7×	102 2.2×	2 0.0×	16	552
Wolff United States	12	117 1.0×	115 1.2×	30 0.4×	4 0.1×	4 0.1×	48	665
Zsolt Lengyel Hungary	13	24 0.2×	63 0.6×	85 1.3×	19 0.4×	17 0.4×	53	509

Countries citing papers authored by Yao Yan

Since Specialization

Citations

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

Fields of papers citing papers by Yao Yan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yao Yan

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

All Works

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11 of 11 papers shown

1.

Yan, Chao, Yao Yan, Zhiyu Wan, et al.. (2022). A Multifaceted benchmarking of synthetic electronic health record generation models. Nature Communications. 13(1). 7609–7609. 56 indexed citations

2.

Sharafeldin, Noha, Benjamin Bates, Qianqian Song, et al.. (2021). Outcomes of COVID-19 in Patients With Cancer: Report From the National COVID Cohort Collaborative (N3C). Journal of Clinical Oncology. 39(20). 2232–2246. 73 indexed citations

3.

Bergquist, Timothy, Yao Yan, Thomas Schaffter, et al.. (2020). Piloting a model-to-data approach to enable predictive analytics in health care through patient mortality prediction. Journal of the American Medical Informatics Association. 27(9). 1393–1400. 4 indexed citations

4.

Yan, Yao, Jun Gong, & Yangyang Liu. (2019). A Novel Deep Learning Method for Red Lesions Detection Using Hybrid Feature. 2287–2292. 11 indexed citations

5.

Fan, Xiao-Nan, Jun Gong, & Yao Yan. (2019). Red lesion detection in fundus images based on convolution neural network. 13. 5661–5666. 3 indexed citations

6.

Shi, Wei, Peipei Gong, Jian Fan, et al.. (2011). The expression pattern of ADP-ribosyltransferase 3 in rat traumatic brain injury. Journal of Molecular Histology. 43(1). 37–47. 14 indexed citations

7.

Hendrickson, Anita E., et al.. (2007). Expression patterns of calretinin, calbindin and parvalbumin and their colocalization in neurons during development of Macaca monkey retina. Experimental Eye Research. 85(5). 587–601. 30 indexed citations

8.

Yan, Yao, et al.. (1996). Parvalbumin, calbindin, and calretinin mark distinct pathways during development of monkey dorsal lateral geniculate nucleus. Journal of Neurobiology. 31(2). 189–209. 38 indexed citations

9.

Yan, Yao, et al.. (1996). Parvalbumin, calbindin, and calretinin mark distinct pathways during development of monkey dorsal lateral geniculate nucleus. Journal of Neurobiology. 31(2). 189–209. 1 indexed citations

10.

Yan, Yao, J. F. M. van Brederode, & Anita E. Hendrickson. (1995). Developmental changes in calretinin expression in GABAergic and nonGABAergic neurons in monkey striate cortex. The Journal of Comparative Neurology. 363(1). 78–92. 39 indexed citations

11.

Yan, Yao, J. F. M. van Brederode, & Anita E. Hendrickson. (1995). Transient co-localization of calretinin, parvalbumin, and calbindin-D28k in developing visual cortex of monkey. Journal of Neurocytology. 24(11). 825–837. 59 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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