Justin P. Annes

4.3k total citations · 2 hit papers
46 papers, 3.4k citations indexed

About

Justin P. Annes is a scholar working on Surgery, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Justin P. Annes has authored 46 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Surgery, 16 papers in Molecular Biology and 12 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Justin P. Annes's work include Pancreatic function and diabetes (15 papers), Adrenal and Paraganglionic Tumors (8 papers) and TGF-β signaling in diseases (6 papers). Justin P. Annes is often cited by papers focused on Pancreatic function and diabetes (15 papers), Adrenal and Paraganglionic Tumors (8 papers) and TGF-β signaling in diseases (6 papers). Justin P. Annes collaborates with scholars based in United States, Australia and Ukraine. Justin P. Annes's co-authors include Daniel B. Rifkin, John S. Munger, Yan Chen, Dan R. Littman, Mary Jean Sunshine, Chris Arendt, Pamela L. Schwartzberg, Zuoming Sun, Leena Gandhi and Abraham Kupfer and has published in prestigious journals such as Nature, New England Journal of Medicine and Proceedings of the National Academy of Sciences.

In The Last Decade

Justin P. Annes

43 papers receiving 3.3k citations

Hit Papers

Making sense of latent TGFβ activation 2000 2026 2008 2017 2002 2000 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Justin P. Annes United States 19 1.6k 816 530 514 485 46 3.4k
Reinhard Henschler Germany 38 1.7k 1.1× 758 0.9× 480 0.9× 870 1.7× 852 1.8× 138 4.7k
Deborah L. French United States 38 2.4k 1.5× 1.0k 1.2× 1.0k 1.9× 741 1.4× 676 1.4× 134 5.3k
Irene Nunes United States 16 1.4k 0.9× 403 0.5× 422 0.8× 414 0.8× 317 0.7× 25 3.0k
Barbara Garmy‐Susini France 28 1.8k 1.1× 482 0.6× 653 1.2× 1.0k 2.0× 292 0.6× 65 3.2k
Jochen W.U. Fries Germany 27 1.6k 1.0× 438 0.5× 670 1.3× 291 0.6× 785 1.6× 81 3.7k
Marian T. Nakada United States 32 1.4k 0.9× 786 1.0× 500 0.9× 825 1.6× 465 1.0× 57 3.5k
Paola Spessotto Italy 31 1.1k 0.7× 502 0.6× 449 0.8× 734 1.4× 227 0.5× 85 2.6k
J. Philip McCoy United States 35 2.1k 1.4× 796 1.0× 721 1.4× 830 1.6× 404 0.8× 99 4.4k
Hans‐Günter Zerwes Switzerland 27 1.4k 0.9× 1.0k 1.3× 338 0.6× 1.1k 2.1× 630 1.3× 58 3.8k
Suzanne Ménashi France 37 1.6k 1.0× 473 0.6× 802 1.5× 801 1.6× 309 0.6× 92 3.8k

Countries citing papers authored by Justin P. Annes

Since Specialization
Citations

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

Fields of papers citing papers by Justin P. Annes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Justin P. Annes. 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 Justin P. Annes. The network helps show where Justin P. Annes may publish in the future.

Co-authorship network of co-authors of Justin P. Annes

This figure shows the co-authorship network connecting the top 25 collaborators of Justin P. Annes. A scholar is included among the top collaborators of Justin P. Annes 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 Justin P. Annes. Justin P. Annes 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.
Collins, Rónán, A. Scott Hinman, Khanh Cong Nguyen, et al.. (2024). Sol-moiety: Discovery of a water-soluble prodrug technology for enhanced oral bioavailability of insoluble therapeutics. Nature Communications. 15(1). 8487–8487. 5 indexed citations
3.
Peace, Christian G., Juliana E. Toller-Kawahisa, Alexander Hooftman, et al.. (2024). Itaconate drives mtRNA-mediated type I interferon production through inhibition of succinate dehydrogenase. Nature Metabolism. 6(11). 2060–2069. 15 indexed citations
4.
Yeon, Pyungwoo, Mohammad Mofidfar, Christian F. Chamberlayne, et al.. (2024). A Wireless Implantable Closed-Loop Electrochemical Drug Delivery System. IEEE Transactions on Biomedical Circuits and Systems. 19(4). 777–790. 1 indexed citations
5.
Chun, Nicolette M., Shanthi V. Sitaraman, Marilyn A. Tan, et al.. (2024). CDC73 c.1155-3A>G is a pathogenic variant that causes aberrant splicing, disrupted parafibromin expression, and hyperparathyroidism-jaw tumor syndrome. JBMR Plus. 9(1). ziae149–ziae149. 1 indexed citations
6.
Annes, Justin P., et al.. (2023). Caution on the Use of 68Ga-DOTATATE for the Diagnosis of Pheochromocytoma: A Report of 2 Cases. JCEM Case Reports. 1(6). luad149–luad149. 2 indexed citations
7.
Lal, Rayhan, Timothy M. Horton, Sooyeon Lee, et al.. (2021). Novel Pathogenic De Novo INS p.T97P Variant Presenting With Severe Neonatal DKA. Endocrinology. 163(2). 2 indexed citations
8.
Lee, Sooyeon & Justin P. Annes. (2020). Mitochondrial Dysfunction Promotes Diabetes via A Previously Unrecognized Mechanism: Protein Succinylation. The FASEB Journal. 34(S1). 1–1. 2 indexed citations
9.
Horton, Timothy M., Vandana Sundaram, Allison Zemek, et al.. (2020). PAM staining intensity of primary neuroendocrine neoplasms is a potential prognostic biomarker. Scientific Reports. 10(1). 10943–10943. 6 indexed citations
10.
11.
Horton, Timothy M., et al.. (2019). Generation of highly potent DYRK1A-dependent inducers of human β-Cell replication via Multi-Dimensional compound optimization. Bioorganic & Medicinal Chemistry. 28(1). 115193–115193. 18 indexed citations
12.
Horton, Timothy M., et al.. (2018). Zinc-Chelating Small Molecules Preferentially Accumulate and Function within Pancreatic β Cells. Cell chemical biology. 26(2). 213–222.e6. 24 indexed citations
13.
Zhao, Zhengshan, et al.. (2016). A High-content <em>In Vitro</em> Pancreatic Islet &#946;-cell Replication Discovery Platform. Journal of Visualized Experiments. 5 indexed citations
14.
Hosseini-Nassab, Niloufar, et al.. (2016). Electrically controlled release of insulin using polypyrrole nanoparticles. Nanoscale. 9(1). 143–149. 70 indexed citations
16.
Annes, Justin P., Monica A. Giovanni, & Michael F. Murray. (2010). Risks of Presymptomatic Direct-to-Consumer Genetic Testing. New England Journal of Medicine. 363(12). 1100–1101. 33 indexed citations
17.
Doyle, Leona A., Justin P. Annes, Michael F. Murray, et al.. (2010). Erdheim-Chester disease presenting with cutaneous involvement: a case report and literature review. Journal of Cutaneous Pathology. 38(3). 280–285. 30 indexed citations
18.
Annes, Justin P., Melinda Vassallo, John S. Munger, & Daniel B. Rifkin. (2004). A genetic screen to identify latent transforming growth factor β activators. Analytical Biochemistry. 327(1). 45–54. 5 indexed citations
19.
Krishnan, Suba, et al.. (2003). Annexin II-mediated plasmin generation activates TGF-β3 during epithelial–mesenchymal transformation in the developing avian heart. Developmental Biology. 265(1). 140–154. 17 indexed citations
20.
Sun, Zuoming, Chris Arendt, Wilfried Ellmeier, et al.. (2000). PKC-θ is required for TCR-induced NF-κB activation in mature but not immature T lymphocytes. Nature. 404(6776). 402–407. 783 indexed citations breakdown →

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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