James A. Pippin

1.7k total citations
36 papers, 917 citations indexed

About

James A. Pippin is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, James A. Pippin has authored 36 papers receiving a total of 917 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 10 papers in Oncology and 9 papers in Genetics. Recurrent topics in James A. Pippin's work include HER2/EGFR in Cancer Research (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Cancer-related gene regulation (4 papers). James A. Pippin is often cited by papers focused on HER2/EGFR in Cancer Research (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Cancer-related gene regulation (4 papers). James A. Pippin collaborates with scholars based in United States, Tanzania and China. James A. Pippin's co-authors include Jeffrey A. Drebin, Haeri Roh, Douglas W. Green, Ahmad Raza, Struan F.A. Grant, Andrew D. Wells, Chun Su, Alessandra Chesi, Matthew E. Johnson and Michelle E. Leonard and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

James A. Pippin

34 papers receiving 893 citations

Peers

James A. Pippin
F. Lucy Raymond United Kingdom
Purita Ramos United States
David Kim United States
Paul C. Lott United States
James A. Pippin
Citations per year, relative to James A. Pippin James A. Pippin (= 1×) peers Tamar Paperna

Countries citing papers authored by James A. Pippin

Since Specialization
Citations

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

Fields of papers citing papers by James A. Pippin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James A. Pippin. 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 James A. Pippin. The network helps show where James A. Pippin may publish in the future.

Co-authorship network of co-authors of James A. Pippin

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

All Works

20 of 20 papers shown
1.
Burton, Elizabeth A., Chun-Hung Su, Elisabetta Manduchi, et al.. (2024). Variant‐to‐function mapping of late‐onset Alzheimer’s disease GWAS loci in human microglial models implicates RTFDC1 as an effector gene at the CASS4 locus. Alzheimer s & Dementia. 20(S1). e089683–e089683.
2.
Pippin, James A., Keith D. Boehm, Sumei Lu, et al.. (2024). Implicating type 2 diabetes effector genes in relevant metabolic cellular models using promoter-focused Capture-C. Diabetologia. 67(12). 2740–2753. 4 indexed citations
3.
Pahl, Matthew C., Prabhat Sharma, Rajan M. Thomas, et al.. (2024). Dynamic chromatin architecture identifies new autoimmune-associated enhancers for IL2 and novel genes regulating CD4+ T cell activation. eLife. 13. 1 indexed citations
4.
Pippin, James A., Alessandra Chesi, Andrew D. Wells, et al.. (2024). Osteoporosis GWAS-implicated DNM3 locus contextually regulates osteoblastic and chondrogenic fate of mesenchymal stem/progenitor cells through oscillating miR-199a-5p levels. JBMR Plus. 8(5). ziae051–ziae051. 2 indexed citations
5.
Pahl, Matthew C., James A. Pippin, Yadav Wagley, et al.. (2024). Variant to gene mapping for carpal tunnel syndrome risk loci implicates skeletal muscle regulatory elements. EBioMedicine. 101. 105038–105038. 1 indexed citations
6.
Chesi, Alessandra, Amber Zimmerman, Matthew C. Pahl, et al.. (2023). Variant-to-gene mapping followed by cross-species genetic screening identifies GPI-anchor biosynthesis as a regulator of sleep. Science Advances. 9(1). eabq0844–eabq0844. 15 indexed citations
7.
Karakasheva, Tatiana A., Yusen Zhou, Hongbo Xie, et al.. (2023). Patient-derived Colonoids From Disease-spared Tissue Retain Inflammatory Bowel Disease-specific Transcriptomic Signatures. SHILAP Revista de lepidopterología. 2(6). 830–842. 4 indexed citations
8.
Su, Chun, Long Gao, Catherine Lee May, et al.. (2022). 3D chromatin maps of the human pancreas reveal lineage-specific regulatory architecture of T2D risk. Cell Metabolism. 34(9). 1394–1409.e4. 34 indexed citations
9.
Pahl, Matthew C., Carole Le Coz, Chun Su, et al.. (2022). Implicating effector genes at COVID-19 GWAS loci using promoter-focused Capture-C in disease-relevant immune cell types. Genome biology. 23(1). 125–125. 20 indexed citations
10.
Lanauze, Claudia, Priyanka Sehgal, Katharina E. Hayer, et al.. (2021). Colorectal Cancer-Associated Smad4 R361 Hotspot Mutations Boost Wnt/β-Catenin Signaling through Enhanced Smad4–LEF1 Binding. Molecular Cancer Research. 19(5). 823–833. 9 indexed citations
11.
Su, Chun, Sumei Lu, James A. Pippin, et al.. (2021). 3D promoter architecture re-organization during iPSC-derived neuronal cell differentiation implicates target genes for neurodevelopmental disorders. Progress in Neurobiology. 201. 102000–102000. 15 indexed citations
12.
Hammond, Reza, Matthew C. Pahl, Chun Su, et al.. (2021). Biological constraints on GWAS SNPs at suggestive significance thresholds reveal additional BMI loci. eLife. 10. 32 indexed citations
13.
Pippin, James A., Alessandra Chesi, Yadav Wagley, et al.. (2021). CRISPR‐Cas9 –Mediated Genome Editing Confirms EPDR1 as an Effector Gene at the BMD GWAS ‐Implicated ‘ STARD3NL ’ Locus. JBMR Plus. 5(9). e10531–e10531. 10 indexed citations
14.
Pahl, Matthew C., Diana L. Cousminer, Claudia A. Doege, et al.. (2020). Variant-to-Gene-Mapping Analyses Reveal a Role for the Hypothalamus in Genetic Susceptibility to Inflammatory Bowel Disease. Cellular and Molecular Gastroenterology and Hepatology. 11(3). 667–682. 13 indexed citations
15.
Su, Chun, Matthew E. Johnson, Annabel Torres, et al.. (2020). Mapping effector genes at lupus GWAS loci using promoter Capture-C in follicular helper T cells. Nature Communications. 11(1). 3294–3294. 42 indexed citations
16.
Chesi, Alessandra, Yadav Wagley, Matthew E. Johnson, et al.. (2019). Genome-scale Capture C promoter interactions implicate effector genes at GWAS loci for bone mineral density. Nature Communications. 10(1). 1260–1260. 79 indexed citations
17.
Pippin, James A., et al.. (2012). Dual ErbB1 and ErbB2 receptor tyrosine kinase inhibition exerts synergistic effect with conventional chemotherapy in pancreatic cancer. Oncology Reports. 28(6). 2211–2216. 8 indexed citations
18.
Green, Douglas W., Haeri Roh, James A. Pippin, & Jeffrey A. Drebin. (2001). β-Catenin Antisense Treatment Decreases β-Catenin Expression and Tumor Growth Rate in Colon Carcinoma Xenografts. Journal of Surgical Research. 101(1). 16–20. 59 indexed citations
19.
Roh, Haeri, James A. Pippin, & Jeffrey A. Drebin. (2000). Down-regulation of HER2/neu expression induces apoptosis in human cancer cells that overexpress HER2/neu.. PubMed. 60(3). 560–5. 96 indexed citations
20.
Roh, Haeri, et al.. (1998). Antisense Oligonucleotides Specific for the HER2/neu Oncogene Inhibit the Growth of Human Breast Carcinoma Cells That Overexpress HER2/neu. Journal of Surgical Research. 77(1). 85–90. 26 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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