Sanford M. Simon

16.6k total citations · 4 hit papers
144 papers, 13.0k citations indexed

About

Sanford M. Simon is a scholar working on Molecular Biology, Cell Biology and Oncology. According to data from OpenAlex, Sanford M. Simon has authored 144 papers receiving a total of 13.0k indexed citations (citations by other indexed papers that have themselves been cited), including 106 papers in Molecular Biology, 50 papers in Cell Biology and 17 papers in Oncology. Recurrent topics in Sanford M. Simon's work include Cellular transport and secretion (37 papers), Lipid Membrane Structure and Behavior (34 papers) and RNA Research and Splicing (14 papers). Sanford M. Simon is often cited by papers focused on Cellular transport and secretion (37 papers), Lipid Membrane Structure and Behavior (34 papers) and RNA Research and Splicing (14 papers). Sanford M. Simon collaborates with scholars based in United States, France and Germany. Sanford M. Simon's co-authors include Jyoti K. Jaiswal, Hedi Mattoussi, Melvin Schindler, J. Matthew Mauro, Joshua Z. Rappoport, Paul D. Bieniasz, Rodolfó R. Llinás, Nolwenn Jouvenet, Günter Blobel and Mark Goulian and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Sanford M. Simon

143 papers receiving 12.7k citations

Hit Papers

Long-term multiple color ... 1985 2026 1998 2012 2002 1985 2004 1991 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sanford M. Simon United States 55 7.7k 2.7k 2.5k 1.6k 1.2k 144 13.0k
Yifan Cheng United States 67 16.6k 2.1× 2.2k 0.8× 2.8k 1.1× 940 0.6× 2.5k 2.0× 213 25.5k
Philip E. Dawson United States 74 15.7k 2.0× 4.3k 1.6× 855 0.3× 1.7k 1.1× 599 0.5× 224 20.8k
David Sept United States 41 6.7k 0.9× 1.1k 0.4× 2.5k 1.0× 1.4k 0.9× 636 0.5× 110 11.2k
Katharina Gaus Australia 58 6.7k 0.9× 1.3k 0.5× 2.1k 0.9× 2.3k 1.4× 442 0.4× 255 12.2k
Roger S. Goody Germany 72 13.1k 1.7× 2.1k 0.8× 4.7k 1.9× 501 0.3× 599 0.5× 329 17.8k
Mark R. Chance United States 62 8.1k 1.0× 1.8k 0.6× 1.6k 0.7× 506 0.3× 796 0.6× 283 12.7k
Bridget Carragher United States 61 7.9k 1.0× 1.2k 0.5× 2.0k 0.8× 443 0.3× 534 0.4× 195 13.4k
Rolf Boelens Netherlands 64 13.2k 1.7× 2.6k 1.0× 883 0.4× 1.1k 0.7× 1.4k 1.1× 318 17.1k
Robert Tampé Germany 67 8.8k 1.1× 842 0.3× 1.1k 0.4× 1.9k 1.2× 403 0.3× 317 16.9k
Donald M. Engelman United States 85 21.0k 2.7× 2.0k 0.7× 2.3k 0.9× 1.7k 1.1× 3.1k 2.5× 250 25.8k

Countries citing papers authored by Sanford M. Simon

Since Specialization
Citations

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

Fields of papers citing papers by Sanford M. Simon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sanford M. Simon. 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 Sanford M. Simon. The network helps show where Sanford M. Simon may publish in the future.

Co-authorship network of co-authors of Sanford M. Simon

This figure shows the co-authorship network connecting the top 25 collaborators of Sanford M. Simon. A scholar is included among the top collaborators of Sanford M. Simon 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 Sanford M. Simon. Sanford M. Simon 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
2.
Requena, David, Søren Heissel, Hanan Alwaseem, et al.. (2023). Disruption of proteome by an oncogenic fusion kinase alters metabolism in fibrolamellar hepatocellular carcinoma. Science Advances. 9(25). eadg7038–eadg7038. 4 indexed citations
3.
Wang, Ruisi, Arlene Hurley, & Sanford M. Simon. (2023). Abstract 1017: A novel blood diagnostic method for fibrolamellar hepatocellular carcinoma. Cancer Research. 83(7_Supplement). 1017–1017. 1 indexed citations
4.
Requena, David, Caroline S. Jiang, Roger Vaughan, et al.. (2023). GalNAc-conjugated siRNA targeting the DNAJB1-PRKACA fusion junction in fibrolamellar hepatocellular carcinoma. Molecular Therapy. 32(1). 140–151. 8 indexed citations
5.
Chen, Krista Y., Aleksandra Popović, David Hsiehchen, et al.. (2022). Clinical Outcomes in Fibrolamellar Hepatocellular Carcinoma Treated with Immune Checkpoint Inhibitors. Cancers. 14(21). 5347–5347. 13 indexed citations
6.
Lalazar, Gadi, Guangrong Zheng, Peiyi Zhang, et al.. (2022). Targeting BCL-XL in fibrolamellar hepatocellular carcinoma. JCI Insight. 7(17). 18 indexed citations
7.
Jiang, Caroline S., et al.. (2022). Oncogenic Addiction of Fibrolamellar Hepatocellular Carcinoma to the Fusion Kinase DNAJB1-PRKACA. Clinical Cancer Research. 29(1). 271–278. 15 indexed citations
8.
Mercenne, Gaëlle, Kristen A. Davenport, John McCullough, et al.. (2021). RetroCHMP3 blocks budding of enveloped viruses without blocking cytokinesis. Cell. 184(21). 5419–5431.e16. 13 indexed citations
9.
Johnson, Daniel S., et al.. (2020). Conformation of the nuclear pore in living cells is modulated by transport state. eLife. 9. 14 indexed citations
10.
Thi, Viet Loan Dao, Xianfang Wu, R.L. Belote, et al.. (2020). Stem cell-derived polarized hepatocytes. Nature Communications. 11(1). 1677–1677. 72 indexed citations
11.
Cao, Baohua, Tsan‐Wen Lu, Lixin Fan, et al.. (2019). Structures of the PKA RIα Holoenzyme with the FLHCC Driver J-PKAcα or Wild-Type PKAcα. Structure. 27(5). 816–828.e4. 25 indexed citations
12.
Johnson, Daniel S., et al.. (2019). Recruitment Dynamics of Escrt-III Proteins during HIV-1 Gag Assembly and Plasma Membrane Scission. Biophysical Journal. 116(3). 373a–373a. 1 indexed citations
13.
Kastenhuber, Edward R., Gadi Lalazar, Shauna L Houlihan, et al.. (2017). DNAJB1–PRKACA fusion kinase interacts with β-catenin and the liver regenerative response to drive fibrolamellar hepatocellular carcinoma. Proceedings of the National Academy of Sciences. 114(50). 13076–13084. 114 indexed citations
14.
Ceglia, Ilaria, Christiane Reitz, Jodi Gresack, et al.. (2015). APP intracellular domain–WAVE1 pathway reduces amyloid-β production. Nature Medicine. 21(9). 1054–1059. 36 indexed citations
15.
Jaiswal, Jyoti K., Stine Lauritzen Sønder, Luana Scheffer, et al.. (2014). S100A11 is required for efficient plasma membrane repair and survival of invasive cancer cells. Nature Communications. 5(1). 3795–3795. 167 indexed citations
16.
Honeyman, Joshua N., Elana P. Simon, Nicolas Robine, et al.. (2014). Detection of a Recurrent DNAJB1-PRKACA Chimeric Transcript in Fibrolamellar Hepatocellular Carcinoma. Science. 343(6174). 1010–1014. 327 indexed citations
17.
Bhola, Patrick, Alexa L. Mattheyses, & Sanford M. Simon. (2009). Spatial and Temporal Dynamics of Mitochondrial Membrane Permeability Waves during Apoptosis. Biophysical Journal. 97(8). 2222–2231. 38 indexed citations
18.
Jaiswal, Jyoti K., Victor M. Rivera, & Sanford M. Simon. (2009). Exocytosis of Post-Golgi Vesicles Is Regulated by Components of the Endocytic Machinery. Cell. 137(7). 1308–1319. 95 indexed citations
19.
Burtey, Anne, Joshua Z. Rappoport, Jérôme Bouchet, et al.. (2006). Dynamic Interaction of HIV‐1 Nef with the Clathrin‐Mediated Endocytic Pathway at the Plasma Membrane. Traffic. 8(1). 61–76. 42 indexed citations
20.
Wollenberg, Michael S. & Sanford M. Simon. (2004). Signal Sequence Cleavage of Peptidyl-tRNA Prior to Release from the Ribosome and Translocon. Journal of Biological Chemistry. 279(24). 24919–24922. 3 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026