Elin Nyman

834 total citations
29 papers, 442 citations indexed

About

Elin Nyman is a scholar working on Molecular Biology, Surgery and Physiology. According to data from OpenAlex, Elin Nyman has authored 29 papers receiving a total of 442 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 12 papers in Surgery and 12 papers in Physiology. Recurrent topics in Elin Nyman's work include Adipose Tissue and Metabolism (11 papers), Pancreatic function and diabetes (11 papers) and Metabolism, Diabetes, and Cancer (9 papers). Elin Nyman is often cited by papers focused on Adipose Tissue and Metabolism (11 papers), Pancreatic function and diabetes (11 papers) and Metabolism, Diabetes, and Cancer (9 papers). Elin Nyman collaborates with scholars based in Sweden, Germany and Japan. Elin Nyman's co-authors include Gunnar Cedersund, Peter Strålfors, Cecilia Brännmark, Siri Fagerholm, Robert S. Palmer, Fredrik H. Nyström, Charlotta S. Olofsson, Per Tornvall, Peter Gennemark and Preben Kjølhede and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and PLoS ONE.

In The Last Decade

Elin Nyman

28 papers receiving 432 citations

Peers

Elin Nyman
Shalem Modi Finland
Nagendra Yaluri Finland
Vinit Shah United States
Takahiro Hata Japan
Fei Xiao China
Eleni E. Zanni United States
Muhammad-Al-Mustafa Ismail Sweden
Murthy S.R. Madiraju Canada
Zhihong Wu China
Davide Chiarugi United Kingdom
Shalem Modi Finland
Elin Nyman
Citations per year, relative to Elin Nyman Elin Nyman (= 1×) peers Shalem Modi

Countries citing papers authored by Elin Nyman

Since Specialization
Citations

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

Fields of papers citing papers by Elin Nyman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elin Nyman

This figure shows the co-authorship network connecting the top 25 collaborators of Elin Nyman. A scholar is included among the top collaborators of Elin Nyman 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 Elin Nyman. Elin Nyman 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.
Ward, Liam J., et al.. (2026). The human metabolome and machine learning improves predictions of the post-mortem interval. Nature Communications. 17(1). 1504–1504.
2.
Nyman, Elin, Peter Gennemark, Peter Gustafsson, et al.. (2024). A unified framework for prediction of liver steatosis dynamics in response to different diet and drug interventions. Clinical Nutrition. 43(6). 1532–1543. 1 indexed citations
3.
Ekstedt, Mattias, Peter Lundberg, Karin G. Stenkula, et al.. (2023). A multi-scale digital twin for adiposity-driven insulin resistance in humans: diet and drug effects. Diabetology & Metabolic Syndrome. 15(1). 250–250. 7 indexed citations
4.
Cedersund, Gunnar, Daniel Eklund, Robert L. Kruse, et al.. (2023). Mathematical models disentangle the role of IL-10 feedbacks in human monocytes upon proinflammatory activation. Journal of Biological Chemistry. 299(10). 105205–105205. 2 indexed citations
5.
Gustafsson, Mika, et al.. (2023). A comprehensive mechanistic model of adipocyte signaling with layers of confidence. npj Systems Biology and Applications. 9(1). 24–24. 2 indexed citations
6.
Nyman, Elin, et al.. (2021). A systems biology analysis of adrenergically stimulated adiponectin exocytosis in white adipocytes. Journal of Biological Chemistry. 297(5). 101221–101221. 5 indexed citations
7.
Strålfors, Peter, et al.. (2021). A systems biology analysis of lipolysis and fatty acid release from adipocytes in vitro and from adipose tissue in vivo. PLoS ONE. 16(12). e0261681–e0261681. 6 indexed citations
8.
Nyman, Elin, Richard R. Stein, Xiaohong Jing, et al.. (2020). Perturbation biology links temporal protein changes to drug responses in a melanoma cell line. PLoS Computational Biology. 16(7). e1007909–e1007909. 13 indexed citations
9.
Nyman, Elin, Maria Lindh, Alexander Persson, et al.. (2020). Mechanisms of a Sustained Anti‐inflammatory Drug Response in Alveolar Macrophages Unraveled with Mathematical Modeling. CPT Pharmacometrics & Systems Pharmacology. 9(12). 707–717. 3 indexed citations
10.
Nyman, Elin, et al.. (2019). Trigger factors in takotsubo syndrome – A systematic review of case reports. European Journal of Internal Medicine. 63. 62–68. 18 indexed citations
11.
Nyman, Elin, et al.. (2017). A systems biology analysis connects insulin receptor signaling with glucose transporter translocation in rat adipocytes. Journal of Biological Chemistry. 292(27). 11206–11217. 7 indexed citations
12.
Nyman, Elin, Stefano Bartesaghi, Charlotte Pollard, et al.. (2017). Systems biology reveals uncoupling beyond UCP1 in human white fat-derived beige adipocytes. npj Systems Biology and Applications. 3(1). 29–29. 12 indexed citations
13.
Gawel, Danuta R., Rebecka Jörnsten, Jörg Linde, et al.. (2017). LASSIM—A network inference toolbox for genome-wide mechanistic modeling. PLoS Computational Biology. 13(6). e1005608–e1005608. 6 indexed citations
14.
Nyman, Elin, Gabriel Helmlinger, Bengt Hamrén, et al.. (2016). Requirements for multi-level systems pharmacology models to reach end-usage: the case of type 2 diabetes. Interface Focus. 6(2). 20150075–20150075. 19 indexed citations
15.
Nyman, Elin, et al.. (2016). Systems-wide Experimental and Modeling Analysis of Insulin Signaling through Forkhead Box Protein O1 (FOXO1) in Human Adipocytes, Normally and in Type 2 Diabetes. Journal of Biological Chemistry. 291(30). 15806–15819. 23 indexed citations
16.
Nyman, Elin, Martin Adiels, P.A.J. Hilbers, et al.. (2015). Model-Based Quantification of the Systemic Interplay between Glucose and Fatty Acids in the Postprandial State. PLoS ONE. 10(9). e0135665–e0135665. 10 indexed citations
17.
Nyman, Elin, et al.. (2014). A Single Mechanism Can Explain Network-wide Insulin Resistance in Adipocytes from Obese Patients with Type 2 Diabetes. Journal of Biological Chemistry. 289(48). 33215–33230. 38 indexed citations
18.
Brännmark, Cecilia, et al.. (2013). Insulin Signaling in Type 2 Diabetes. Journal of Biological Chemistry. 288(14). 9867–9880. 86 indexed citations
19.
20.
Nyman, Elin, Cecilia Brännmark, Robert S. Palmer, et al.. (2011). A Hierarchical Whole-body Modeling Approach Elucidates the Link between in Vitro Insulin Signaling and in Vivo Glucose Homeostasis. Journal of Biological Chemistry. 286(29). 26028–26041. 56 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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