Erik Hedman

416 total citations
5 papers, 295 citations indexed

About

Erik Hedman is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Erik Hedman has authored 5 papers receiving a total of 295 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Oncology. Recurrent topics in Erik Hedman's work include Estrogen and related hormone effects (3 papers), Cytokine Signaling Pathways and Interactions (2 papers) and Microbial Community Ecology and Physiology (1 paper). Erik Hedman is often cited by papers focused on Estrogen and related hormone effects (3 papers), Cytokine Signaling Pathways and Interactions (2 papers) and Microbial Community Ecology and Physiology (1 paper). Erik Hedman collaborates with scholars based in Sweden. Erik Hedman's co-authors include Wolfgang P. Schröder, Hui Gao, Karin Dahlman‐Wright, Akhtar Khan, Suad Efendić, Jan-Ακε Gustafsson, Fang Huang, Birgitta Norling, Thomas Kieselbach and Christiane Funk and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Molecular Endocrinology and Molecular & Cellular Proteomics.

In The Last Decade

Erik Hedman

5 papers receiving 293 citations

Peers

Erik Hedman
Christy Smolak United States
H. H. Thole Germany
Michał Kopczyński United States
Dennis Farrelly United States
J Bozal Spain
Christy Smolak United States
Erik Hedman
Citations per year, relative to Erik Hedman Erik Hedman (= 1×) peers Christy Smolak

Countries citing papers authored by Erik Hedman

Since Specialization
Citations

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

Fields of papers citing papers by Erik Hedman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erik Hedman

This figure shows the co-authorship network connecting the top 25 collaborators of Erik Hedman. A scholar is included among the top collaborators of Erik Hedman 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 Erik Hedman. Erik Hedman 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.
Asadi, Abolfazl, et al.. (2008). FMS-like tyrosine kinase 3 interacts with the glucocorticoid receptor complex and affects glucocorticoid dependent signaling. Biochemical and Biophysical Research Communications. 368(3). 569–574. 9 indexed citations
2.
Hedman, Erik, et al.. (2006). Proteomic identification of glucocorticoid receptor interacting proteins. PROTEOMICS. 6(10). 3114–3126. 27 indexed citations
4.
Huang, Fang, Erik Hedman, Christiane Funk, et al.. (2004). Isolation of Outer Membrane of Synechocystis sp. PCC 6803 and Its Proteomic Characterization. Molecular & Cellular Proteomics. 3(6). 586–595. 111 indexed citations
5.
Wikström, A C, et al.. (2002). Cytosolic Glucocorticoid Receptor-Interacting Proteins. PubMed. 177–196. 5 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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