Iris Lindberg

8.1k total citations
166 papers, 6.5k citations indexed

About

Iris Lindberg is a scholar working on Molecular Biology, Cell Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Iris Lindberg has authored 166 papers receiving a total of 6.5k indexed citations (citations by other indexed papers that have themselves been cited), including 109 papers in Molecular Biology, 74 papers in Cell Biology and 50 papers in Cellular and Molecular Neuroscience. Recurrent topics in Iris Lindberg's work include Cellular transport and secretion (58 papers), Neuropeptides and Animal Physiology (40 papers) and Endoplasmic Reticulum Stress and Disease (37 papers). Iris Lindberg is often cited by papers focused on Cellular transport and secretion (58 papers), Neuropeptides and Animal Physiology (40 papers) and Endoplasmic Reticulum Stress and Disease (37 papers). Iris Lindberg collaborates with scholars based in United States, Germany and Canada. Iris Lindberg's co-authors include Xiaorong Zhu, Yi Zhou, Angus Cameron, Laurent Muller, Manuel E. Than, Nazarius S. Lamango, Richard A. Houghten, Wolfram Bode, Jon R. Appel and Stefan Henrich and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Iris Lindberg

165 papers receiving 6.3k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Iris Lindberg 3.5k 2.1k 1.5k 914 748 166 6.5k
Claude Lazure 4.0k 1.1× 1.6k 0.7× 1.4k 1.0× 1.0k 1.1× 649 0.9× 163 8.2k
Peter Gierschik 6.9k 2.0× 1.6k 0.8× 1.6k 1.1× 592 0.6× 923 1.2× 173 9.7k
Lloyd D. Fricker 5.5k 1.6× 1.9k 0.9× 2.9k 2.0× 765 0.8× 924 1.2× 180 9.0k
R. Blake Pepinsky 6.7k 1.9× 963 0.5× 1.9k 1.3× 622 0.7× 1.0k 1.3× 138 11.9k
Paul K. Goldsmith 4.2k 1.2× 1.0k 0.5× 1.4k 0.9× 333 0.4× 551 0.7× 102 6.4k
Shu Jin Chan 3.6k 1.0× 1.1k 0.5× 800 0.5× 1.7k 1.9× 535 0.7× 98 6.6k
Tohru Kozasa 7.9k 2.3× 1.7k 0.8× 1.9k 1.3× 384 0.4× 611 0.8× 107 9.7k
Marieangela C. Wilson 3.3k 1.0× 1.3k 0.6× 1.2k 0.8× 423 0.5× 1.1k 1.5× 72 5.7k
William Biggs 6.0k 1.7× 615 0.3× 767 0.5× 1.3k 1.4× 952 1.3× 33 8.1k
Dennis Huszar 3.1k 0.9× 1.1k 0.5× 369 0.3× 964 1.1× 1.1k 1.5× 86 8.7k

Countries citing papers authored by Iris Lindberg

Since Specialization
Citations

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

Fields of papers citing papers by Iris Lindberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Iris Lindberg

This figure shows the co-authorship network connecting the top 25 collaborators of Iris Lindberg. A scholar is included among the top collaborators of Iris Lindberg 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 Iris Lindberg. Iris Lindberg 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.
2.
Kono, Tatsuyoshi, Preethi Krishnan, Renato Chaves Souto Branco, et al.. (2023). SERCA2 regulates proinsulin processing and processing enzyme maturation in pancreatic beta cells. Diabetologia. 66(11). 2042–2061. 11 indexed citations
3.
Peinado, Juan R., et al.. (2022). Sequestration of TDP-43 216-414 Aggregates by Cytoplasmic Expression of the proSAAS Chaperone. ACS Chemical Neuroscience. 13(11). 1651–1665. 9 indexed citations
4.
Lindberg, Iris, et al.. (2021). A protease protection assay for the detection of internalized alpha-synuclein pre-formed fibrils. PLoS ONE. 16(1). e0241161–e0241161. 5 indexed citations
5.
Lindberg, Iris & Lloyd D. Fricker. (2021). Obesity, POMC, and POMC-processing Enzymes: Surprising Results From Animal Models. Endocrinology. 162(12). 20 indexed citations
6.
Gahlot, Surbhi, et al.. (2021). Mice lacking PC1/3 expression in POMC-expressing cells do not develop obesity. Endocrinology. 5 indexed citations
7.
Lindberg, Iris, et al.. (2020). Mouse Models of Human Proprotein Convertase Insufficiency. Endocrine Reviews. 42(3). 259–294. 13 indexed citations
8.
Lindberg, Iris, et al.. (2020). Increased expression and retention of the secretory chaperone proSAAS following cell stress. Cell Stress and Chaperones. 25(6). 929–941. 9 indexed citations
9.
Gahlot, Surbhi, et al.. (2019). Reduced stability and pH-dependent activity of a common obesity-linked PCSK1 polymorphism, N221D. Endocrinology. 160(11). 2630–2645. 7 indexed citations
10.
Katorcha, Elizaveta, Natallia Makarava, Young Jin Lee, et al.. (2017). Cross-seeding of prions by aggregated α-synuclein leads to transmissible spongiform encephalopathy. PLoS Pathogens. 13(8). e1006563–e1006563. 42 indexed citations
11.
Ramos‐Molina, Bruno, et al.. (2017). Functional analysis of PCSK2 coding variants: A founder effect in the Old Order Amish population. Diabetes Research and Clinical Practice. 131. 82–90. 9 indexed citations
12.
Lam, Hoa A., Michael Helwig, Nikolai Lorenzen, et al.. (2016). The neural chaperone proSAAS blocks α-synuclein fibrillation and neurotoxicity. Proceedings of the National Academy of Sciences. 113(32). E4708–15. 35 indexed citations
13.
Yongye, Austin B., Mirella Vivoli, Iris Lindberg, et al.. (2013). Identification of a Small Molecule That Selectively Inhibits Mouse PC2 over Mouse PC1/3: A Computational and Experimental Study. PLoS ONE. 8(2). e56957–e56957. 4 indexed citations
14.
Lu, Yinghui, Kornelia Hardes, Boris Strehlow, et al.. (2012). Highly Potent Inhibitors of Proprotein Convertase Furin as Potential Drugs for Treatment of Infectious Diseases. Journal of Biological Chemistry. 287(26). 21992–22003. 93 indexed citations
15.
Gouvêa, Iuri E., Diego M. Assis, Vitor Oliveira, et al.. (2009). A study of human furin specificity using synthetic peptides derived from natural substrates, and effects of potassium ions. Archives of Biochemistry and Biophysics. 487(2). 105–114. 37 indexed citations
16.
Than, Manuel E., et al.. (2005). Mutations of the PC2 Substrate Binding Pocket Alter Enzyme Specificity. Journal of Biological Chemistry. 280(36). 31850–31858. 5 indexed citations
17.
Cornwall, Gail A., Angus Cameron, Iris Lindberg, et al.. (2003). The Cystatin-Related Epididymal Spermatogenic Protein Inhibits the Serine Protease Prohormone Convertase 2. Endocrinology. 144(3). 901–908. 56 indexed citations
18.
Fortenberry, Yolanda M., et al.. (2002). Functional Characterization of ProSAAS. Journal of Biological Chemistry. 277(7). 5175–5186. 43 indexed citations
19.
Muller, Laurent & Iris Lindberg. (1999). The Cell Biology of the Prohormone Convertases PCI and PC2. Progress in nucleic acid research and molecular biology. 63. 69–108. 120 indexed citations
20.
Westphal, Christoph, Laurent Muller, An Zhou, et al.. (1999). The Neuroendocrine Protein 7B2 Is Required for Peptide Hormone Processing In Vivo and Provides a Novel Mechanism for Pituitary Cushing’s Disease. Cell. 96(5). 689–700. 156 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

Breakdown of academic impact, for papers by Claude Lazure Breakdown of academic impact, for papers by Peter Gierschik Breakdown of academic impact, for papers by Lloyd D. Fricker Breakdown of academic impact, for papers by R. Blake Pepinsky Breakdown of academic impact, for papers by Paul K. Goldsmith Breakdown of academic impact, for papers by Shu Jin Chan Breakdown of academic impact, for papers by Tohru Kozasa Breakdown of academic impact, for papers by Marieangela C. Wilson Breakdown of academic impact, for papers by William Biggs Breakdown of academic impact, for papers by Dennis Huszar
Rankless by CCL
2026