Shawn Pan

834 total citations · 1 hit paper
8 papers, 553 citations indexed

About

Shawn Pan is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Shawn Pan has authored 8 papers receiving a total of 553 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Cancer Research and 2 papers in Oncology. Recurrent topics in Shawn Pan's work include Cancer, Hypoxia, and Metabolism (2 papers), Cancer-related Molecular Pathways (2 papers) and Metabolism, Diabetes, and Cancer (2 papers). Shawn Pan is often cited by papers focused on Cancer, Hypoxia, and Metabolism (2 papers), Cancer-related Molecular Pathways (2 papers) and Metabolism, Diabetes, and Cancer (2 papers). Shawn Pan collaborates with scholars based in United States, Germany and Israel. Shawn Pan's co-authors include Mark A. Eckert, Ernst Lengyel, Kyle M. Hernandez, S. Diane Yamada, Jorge Andrade, Ricardo R. Lastra, Jae Won Chang, Raymond E. Moellering, Agnieszka Chryplewicz and Ruth Perets and has published in prestigious journals such as Nature, The FASEB Journal and Environmental Health Perspectives.

In The Last Decade

Shawn Pan

6 papers receiving 547 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.

Proteomics reveals NNMT as a master metabolic regulator of cancer-associated fibroblasts

2019 325 citations Mark A. Eckert, Fabian Coscia et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shawn Pan United States	5	307	167	160	120	53	8	553
Pengyun Qiao China	17	436 1.4×	252 1.5×	153 1.0×	149 1.2×	54 1.0×	23	779
Séverine Cunat France	10	171 0.6×	98 0.6×	138 0.9×	101 0.8×	33 0.6×	24	527
Tsuyoshi Okuda Japan	12	370 1.2×	172 1.0×	258 1.6×	187 1.6×	48 0.9×	15	733
Jennifer R. Ribeiro United States	13	190 0.6×	146 0.9×	158 1.0×	132 1.1×	81 1.5×	42	482
Myles C. Hodgson United States	11	357 1.2×	116 0.7×	88 0.6×	24 0.2×	214 4.0×	14	565
Jean‐Marc Rey France	8	191 0.6×	99 0.6×	127 0.8×	71 0.6×	11 0.2×	12	401
Meei Huey Jeng United States	10	258 0.8×	107 0.6×	241 1.5×	71 0.6×	46 0.9×	12	647
S. Cowan United Kingdom	11	127 0.4×	56 0.3×	115 0.7×	72 0.6×	125 2.4×	22	483
Baoen Shan China	15	296 1.0×	158 0.9×	173 1.1×	29 0.2×	66 1.2×	46	516
Marina Sekacheva Russia	14	217 0.7×	159 1.0×	170 1.1×	17 0.1×	150 2.8×	59	530

Countries citing papers authored by Shawn Pan

Since Specialization

Citations

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

Fields of papers citing papers by Shawn Pan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shawn Pan

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

8 of 8 papers shown

1.

Eckert, Mark A., Fabian Coscia, Agnieszka Chryplewicz, et al.. (2019). Proteomics reveals NNMT as a master metabolic regulator of cancer-associated fibroblasts. Nature. 569(7758). 723–728. 325 indexed citations breakdown →

2.

Eckert, Mark A., Fabian Coscia, Agnieszka Chryplewicz, et al.. (2019). Metabolic reprogramming of the stromal epigenome in ovarian cancer metastasis. The FASEB Journal. 33(S1). 1 indexed citations

3.

Eckert, Mark A., Fabian Coscia, Agnieszka Chryplewicz, et al.. (2018). Nicotinamide N-methyltransferase metabolically reprograms the stroma to promote ovarian cancer metastasis.. Max Planck Digital Library. 30–30.

4.

Eckert, Mark A., Shawn Pan, Kyle M. Hernandez, et al.. (2016). Genomics of Ovarian Cancer Progression Reveals Diverse Metastatic Trajectories Including Intraepithelial Metastasis to the Fallopian Tube. Cancer Discovery. 6(12). 1342–1351. 130 indexed citations

5.

Pan, Shawn, Abderrahmane Tagmount, Ruthann A. Rudel, et al.. (2015). Parabens and Human Epidermal Growth Factor Receptor Ligand Cross-Talk in Breast Cancer Cells. Environmental Health Perspectives. 124(5). 563–569. 56 indexed citations

6.

Litchfield, Lacey M., Abir Mukherjee, Mark A. Eckert, et al.. (2015). Hyperglycemia-induced metabolic compensation inhibits metformin sensitivity in ovarian cancer. Oncotarget. 6(27). 23548–23560. 34 indexed citations

7.

Pandey, Suresh K., et al.. (2012). Synthesis and evaluation of 3-123I-iodo-5-[2-(S)-3-pyrrolinylmethoxy]-pyridine (niodene) as a potential nicotinic α4β2 receptor imaging agent. Bioorganic & Medicinal Chemistry Letters. 22(24). 7610–7614. 6 indexed citations

8.

Pan, Shawn, et al.. (2000). SEAWAY: A Multi-Agent Decision-Support System for Naval Expeditionary Logistic Operations. DigitalCommons@CalPoly. 1–178. 1 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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