Michael Stigson

631 total citations
17 papers, 521 citations indexed

About

Michael Stigson is a scholar working on Molecular Biology, Cell Biology and Genetics. According to data from OpenAlex, Michael Stigson has authored 17 papers receiving a total of 521 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 5 papers in Cell Biology and 5 papers in Genetics. Recurrent topics in Michael Stigson's work include Histone Deacetylase Inhibitors Research (6 papers), Epigenetics and DNA Methylation (5 papers) and Proteoglycans and glycosaminoglycans research (4 papers). Michael Stigson is often cited by papers focused on Histone Deacetylase Inhibitors Research (6 papers), Epigenetics and DNA Methylation (5 papers) and Proteoglycans and glycosaminoglycans research (4 papers). Michael Stigson collaborates with scholars based in Sweden, United States and Italy. Michael Stigson's co-authors include Lennart Dencker, Kim Kultima, Birger Scholz, Anne-Lee Gustafson, Henrik Alm, Anna‐Maja Nyström, Lena Kjellén, Åsa Fex Svenningsen, Per E. Andrén and Anna Nilsson and has published in prestigious journals such as Journal of Biological Chemistry, Environmental Health Perspectives and Archives of Biochemistry and Biophysics.

In The Last Decade

Michael Stigson

17 papers receiving 507 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael Stigson Sweden	12	239	142	98	94	66	17	521
Fredric R. Boockfor United States	14	256 1.1×	228 1.6×	164 1.7×	21 0.2×	71 1.1×	23	764
Mary C. Francis United Kingdom	6	462 1.9×	55 0.4×	113 1.2×	86 0.9×	178 2.7×	9	922
Marjo J. den Broeder Netherlands	10	383 1.6×	63 0.4×	119 1.2×	25 0.3×	59 0.9×	13	581
Jenny R. Lenkowski United States	6	325 1.4×	294 2.1×	56 0.6×	23 0.2×	40 0.6×	7	686
Naoki Adati Japan	10	335 1.4×	43 0.3×	112 1.1×	15 0.2×	49 0.7×	15	532
Daniel Lai New Zealand	4	272 1.1×	63 0.4×	81 0.8×	22 0.2×	45 0.7×	5	550
Phil S. Hartman United States	16	747 3.1×	32 0.2×	107 1.1×	36 0.4×	57 0.9×	29	1.2k
Rita Reig‐Viader Spain	11	177 0.7×	57 0.4×	59 0.6×	15 0.2×	24 0.4×	14	438
Cindy Shope United States	4	493 2.1×	30 0.2×	50 0.5×	25 0.3×	80 1.2×	6	720
R. Picon France	11	195 0.8×	89 0.6×	119 1.2×	96 1.0×	18 0.3×	23	549

Countries citing papers authored by Michael Stigson

Since Specialization

Citations

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

Fields of papers citing papers by Michael Stigson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Stigson

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Stigson. A scholar is included among the top collaborators of Michael Stigson 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 Michael Stigson. Michael Stigson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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17 of 17 papers shown

1.

Salter, Hugh, et al.. (2011). Short-Time Gene Expression Response to Valproic Acid and Valproic Acid Analogs in Mouse Embryonic Stem Cells. Toxicological Sciences. 121(2). 328–342. 38 indexed citations

2.

Kultima, Kim, et al.. (2010). Early transcriptional responses in mouse embryos as a basis for selection of molecular markers predictive of valproic acid teratogenicity. Reproductive Toxicology. 30(3). 457–468. 30 indexed citations

3.

Kultima, Kim, et al.. (2009). Valproic Acid–Induced Deregulation In Vitro of Genes Associated In Vivo with Neural Tube Defects. Toxicological Sciences. 108(1). 132–148. 53 indexed citations

4.

Alm, Henrik, Birger Scholz, Kim Kultima, et al.. (2009). In Vitro Neurotoxicity of PBDE-99: Immediate and Concentration-Dependent Effects on Protein Expression in Cerebral Cortex Cells. Journal of Proteome Research. 9(3). 1226–1235. 26 indexed citations

5.

Alm, Henrik, Kim Kultima, Birger Scholz, et al.. (2008). Exposure to brominated flame retardant PBDE-99 affects cytoskeletal protein expression in the neonatal mouse cerebral cortex. NeuroToxicology. 29(4). 628–637. 64 indexed citations

6.

Stigson, Michael, Kim Kultima, Birger Scholz, et al.. (2007). Molecular Targets and Early Response Biomarkers for the Prediction of Developmental Toxicity In Vitro. Alternatives to Laboratory Animals. 35(3). 335–342. 5 indexed citations

7.

Kultima, Kim, et al.. (2007). In search for molecular markers of teratogenicity using a toxicogenomics in vivo/in vitro approach. 1 indexed citations

8.

Kultima, Kim, et al.. (2006). Cadmium-induced gene expression changes in the mouse embryo, and the influence of pretreatment with zinc. Reproductive Toxicology. 22(4). 636–646. 11 indexed citations

9.

Scholz, Birger, Kim Kultima, Anna Mattsson, et al.. (2006). Sex-dependent gene expression in early brain development of chicken embryos. BMC Neuroscience. 7(1). 12–12. 58 indexed citations

10.

Alm, Henrik, Birger Scholz, Celia Fischer, et al.. (2005). Proteomic Evaluation of Neonatal Exposure to 2,2′,4,4′,5-Pentabromodiphenyl Ether. Environmental Health Perspectives. 114(2). 254–259. 61 indexed citations

11.

Kultima, Kim, Anna‐Maja Nyström, Birger Scholz, et al.. (2004). Valproic Acid Teratogenicity: A Toxicogenomics Approach. Environmental Health Perspectives. 112(12). 1225–1235. 72 indexed citations

12.

Kultima, Kim, Anna‐Maja Nyström, Birger Scholz, et al.. (2004). Valproic Acid Teratogenicity: A Toxicogenomics Approach. Environmental Health Perspectives. 112(12). 1225–1235. 37 indexed citations

13.

Parichy, David M., Michael Stigson, & S. Randal Voss. (1999). Genetic analysis of steel and the PG-M/versican-encoding gene AxPG as candidates for the white (d) pigmentation mutant in the salamander Ambystoma mexicanum. Development Genes and Evolution. 209(6). 349–356. 16 indexed citations

14.

Stigson, Michael, Jan Löfberg, & Lena Kjellén. (1997). PG-M/Versican-like Proteoglycans Are Components of Large Disulfide-stabilized Complexes in the Axolotl Embryo. Journal of Biological Chemistry. 272(6). 3246–3253. 12 indexed citations

15.

Stigson, Michael, Jan Löfberg, & Lena Kjellén. (1997). Reduced Epidermal Expression of a PG-M/Versican-like Proteoglycan in Embryos of the White Mutant Axolotl. Experimental Cell Research. 236(1). 57–65. 9 indexed citations

16.

Olsson, Lennart, Michael Stigson, Roberto Perris, J. Michael Sorrell, & Jan Löfberg. (1996). Distribution of Keratan Sulphate and Chondroitin Sulphate in Wild Type and White Mutant Axolotl Embryos During Neural Crest Cell Migration. Pigment Cell Research. 9(1). 5–17. 17 indexed citations

17.

Stigson, Michael & Lena Kjellén. (1991). Large disulfide-stabilized proteoglycan complexes are synthesized by the epidermis of axolotl embryos. Archives of Biochemistry and Biophysics. 290(2). 391–396. 11 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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