Peter Yan

825 total citations · 1 hit paper
9 papers, 365 citations indexed

About

Peter Yan is a scholar working on Cancer Research, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Peter Yan has authored 9 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Cancer Research, 2 papers in Infectious Diseases and 2 papers in Molecular Biology. Recurrent topics in Peter Yan's work include Cancer, Hypoxia, and Metabolism (2 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (2 papers) and Sepsis Diagnosis and Treatment (2 papers). Peter Yan is often cited by papers focused on Cancer, Hypoxia, and Metabolism (2 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (2 papers) and Sepsis Diagnosis and Treatment (2 papers). Peter Yan collaborates with scholars based in United States, Canada and China. Peter Yan's co-authors include Rémy Char, Bushra Samad, Evelina Gatti, Philippe Pierre, Matthew F. Krummel, Rafael J. Argüello, Jessica Tsui, Alexis J. Combes, Daniel K. Nomura and Lindsay S. Roberts and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cell Metabolism and IEEE Access.

In The Last Decade

Peter Yan

9 papers receiving 364 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

SCENITH: A Flow Cytometry-Based Method to Functionally Profile Energy Metabolism with Single-Cell Resolution

2020 278 citations Rafael J. Argüello, Alexis J. Combes et al. Cell Metabolism profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Peter Yan United States	6	179	153	47	47	37	9	365
Cynthia Zajac United States	11	173 1.0×	228 1.5×	67 1.4×	30 0.6×	41 1.1×	20	404
Corinne Rossi United States	10	170 0.9×	165 1.1×	62 1.3×	41 0.9×	38 1.0×	19	340
M. Angela Brazil	6	143 0.8×	118 0.8×	75 1.6×	75 1.6×	38 1.0×	9	339
Takashi Nishina Japan	10	156 0.9×	209 1.4×	106 2.3×	60 1.3×	48 1.3×	17	385
Julia Lopatnikova Russia	12	237 1.3×	137 0.9×	108 2.3×	24 0.5×	39 1.1×	57	419
Douglas K. Brubaker United States	12	68 0.4×	176 1.2×	55 1.2×	45 1.0×	44 1.2×	30	359
Eui‐Young So United States	12	163 0.9×	152 1.0×	96 2.0×	37 0.8×	27 0.7×	17	397
Xinliang Lu China	11	109 0.6×	203 1.3×	84 1.8×	83 1.8×	37 1.0×	22	368
Hannes Schmid Germany	11	151 0.8×	231 1.5×	96 2.0×	31 0.7×	68 1.8×	14	473

Countries citing papers authored by Peter Yan

Since Specialization

Citations

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

Fields of papers citing papers by Peter Yan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Yan. A scholar is included among the top collaborators of Peter 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 Peter Yan. Peter Yan 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:

9 of 9 papers shown

1.

Wang, Wenhao, et al.. (2024). A Multi-Scaler Hybrid Autoformer for Enhanced Time Series Forecasting in Energy Consumption. IEEE Access. 12. 196347–196363. 1 indexed citations

2.

Yan, Peter, Daniela Markovic, Russell G. Buhr, et al.. (2023). Eosinophil recovery in hospitalized COVID-19 patients is associated with lower rates of ICU admission and in-hospital mortality: An observational cohort analysis. Respiratory Medicine and Research. 84. 101031–101031. 3 indexed citations

3.

Yan, Peter, Daniela Markovic, Russell G. Buhr, et al.. (2022). Chronic Obstructive Pulmonary Disease is Not Associated with In-Hospital Mortality in COVID-19: An Observational Cohort Analysis. International Journal of COPD. Volume 17. 3111–3121. 5 indexed citations

4.

Shaikh, Faisal M., Jon‐Émile S. Kenny, Daniela Markovic, et al.. (2022). Measuring the accuracy of cardiac output using POCUS: the introduction of artificial intelligence into routine care. The Ultrasound Journal. 14(1). 47–47. 20 indexed citations

5.

Yan, Peter, Nicholas Jackson, Russell G. Buhr, et al.. (2022). Cannabis consumption is associated with lower COVID-19 severity among hospitalized patients: a retrospective cohort analysis. SHILAP Revista de lepidopterología. 4(1). 46–46. 7 indexed citations

6.

Yu, Shang‐Fan, Donna W. Lee, Bing Zheng, et al.. (2020). An Anti–CD22- seco -CBI-Dimer Antibody–Drug Conjugate (ADC) for the Treatment of Non-Hodgkin Lymphoma That Provides a Longer Duration of Response than Auristatin-Based ADCs in Preclinical Models. Molecular Cancer Therapeutics. 20(2). 340–346. 8 indexed citations

7.

Argüello, Rafael J., Alexis J. Combes, Rémy Char, et al.. (2020). SCENITH: A Flow Cytometry-Based Method to Functionally Profile Energy Metabolism with Single-Cell Resolution. Cell Metabolism. 32(6). 1063–1075.e7. 278 indexed citations breakdown →

8.

Roberts, Lindsay S., Peter Yan, Leslie A. Bateman, & Daniel K. Nomura. (2017). Mapping Novel Metabolic Nodes Targeted by Anti-Cancer Drugs that Impair Triple-Negative Breast Cancer Pathogenicity. ACS Chemical Biology. 12(4). 1133–1140. 15 indexed citations

9.

Kohnz, Rebecca A., Lindsay S. Roberts, David DeTomaso, et al.. (2016). Protein Sialylation Regulates a Gene Expression Signature that Promotes Breast Cancer Cell Pathogenicity. ACS Chemical Biology. 11(8). 2131–2139. 28 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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