John-Paul Upton

2.0k total citations · 2 hit papers
5 papers, 1.4k citations indexed

About

John-Paul Upton is a scholar working on Cell Biology, Molecular Biology and Surgery. According to data from OpenAlex, John-Paul Upton has authored 5 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cell Biology, 4 papers in Molecular Biology and 2 papers in Surgery. Recurrent topics in John-Paul Upton's work include Endoplasmic Reticulum Stress and Disease (5 papers), RNA regulation and disease (3 papers) and Autophagy in Disease and Therapy (2 papers). John-Paul Upton is often cited by papers focused on Endoplasmic Reticulum Stress and Disease (5 papers), RNA regulation and disease (3 papers) and Autophagy in Disease and Therapy (2 papers). John-Paul Upton collaborates with scholars based in United States. John-Paul Upton's co-authors include Scott A. Oakes, Dan Han, Feroz R. Papa, Andrew Hagen, Lieselotte Vande Walle, Alana G. Lerner, Bradley J. Backes, Weihong Xu, Michael T. McManus and Noelle E. Huskey and has published in prestigious journals such as Science, Cell and Molecular and Cellular Biology.

In The Last Decade

John-Paul Upton

5 papers receiving 1.4k citations

Hit Papers

IRE1α Kinase Activation Modes Control Alternate Endoribon... 2009 2026 2014 2020 2009 2012 200 400 600
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.

  1. IRE1α Kinase Activation Modes Control Alternate Endoribonuclease Outputs to Determine Divergent Cell Fates
    2009 654 citations Dan Han, Alana G. Lerner et al. Cell profile →
  2. IRE1α Cleaves Select microRNAs During ER Stress to Derepress Translation of Proapoptotic Caspase-2
    2012 532 citations John-Paul Upton, Likun Wang et al. Science profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John-Paul Upton United States 5 1.1k 660 659 281 123 5 1.4k
Miho Oyadomari Japan 11 693 0.6× 405 0.6× 513 0.8× 239 0.9× 85 0.7× 15 1.1k
Haibo Sha United States 15 551 0.5× 380 0.6× 538 0.8× 203 0.7× 287 2.3× 16 1.2k
J. Liang United States 6 548 0.5× 255 0.4× 533 0.8× 151 0.5× 66 0.5× 7 875
Duc Thang Nguyên Canada 8 523 0.5× 287 0.4× 361 0.5× 157 0.6× 110 0.9× 9 727
Aaron S. Mendez United States 9 479 0.4× 265 0.4× 516 0.8× 68 0.2× 108 0.9× 11 858
Arisa Higa Japan 12 388 0.4× 220 0.3× 317 0.5× 88 0.3× 78 0.6× 19 725
Likun Wang China 8 409 0.4× 282 0.4× 374 0.6× 97 0.3× 61 0.5× 15 711
Sean P. Ferris United States 11 384 0.4× 315 0.5× 314 0.5× 159 0.6× 131 1.1× 23 894
Jeffrey J. Rodvold United States 13 444 0.4× 293 0.4× 334 0.5× 76 0.3× 257 2.1× 17 829
Federica Di Sano Italy 17 358 0.3× 249 0.4× 526 0.8× 58 0.2× 137 1.1× 25 963

Countries citing papers authored by John-Paul Upton

Since Specialization
Citations

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

Fields of papers citing papers by John-Paul Upton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John-Paul Upton. 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 John-Paul Upton. The network helps show where John-Paul Upton may publish in the future.

Co-authorship network of co-authors of John-Paul Upton

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

All Works

5 of 5 papers shown
1.
Upton, John-Paul, Likun Wang, Dan Han, et al.. (2012). IRE1α Cleaves Select microRNAs During ER Stress to Derepress Translation of Proapoptotic Caspase-2. Science. 338(6108). 818–822. 532 indexed citations breakdown →
2.
Han, Dan, Alana G. Lerner, Lieselotte Vande Walle, et al.. (2009). IRE1α Kinase Activation Modes Control Alternate Endoribonuclease Outputs to Determine Divergent Cell Fates. Cell. 138(3). 562–575. 654 indexed citations breakdown →
3.
Lerner, Alana G., Lieselotte Vande Walle, John-Paul Upton, et al.. (2009). IRE1α Kinase Activation Modes Control Alternate Endoribonuclease Outputs to Determine Divergent Cell Fates. 138(3). 562–575. 6 indexed citations
4.
Upton, John-Paul, Kathryn Austgen, Mari Nishino, et al.. (2008). Caspase-2 Cleavage of BID Is a Critical Apoptotic Signal Downstream of Endoplasmic Reticulum Stress. Molecular and Cellular Biology. 28(12). 3943–3951. 149 indexed citations
5.
Han, Dan, et al.. (2007). A kinase inhibitor activates the IRE1α RNase to confer cytoprotection against ER stress. Biochemical and Biophysical Research Communications. 365(4). 777–783. 43 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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