Barbara Sigala

873 total citations
9 papers, 689 citations indexed

About

Barbara Sigala is a scholar working on Molecular Biology, Epidemiology and Hepatology. According to data from OpenAlex, Barbara Sigala has authored 9 papers receiving a total of 689 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Epidemiology and 3 papers in Hepatology. Recurrent topics in Barbara Sigala's work include Liver Disease Diagnosis and Treatment (4 papers), Liver Disease and Transplantation (2 papers) and DNA Repair Mechanisms (2 papers). Barbara Sigala is often cited by papers focused on Liver Disease Diagnosis and Treatment (4 papers), Liver Disease and Transplantation (2 papers) and DNA Repair Mechanisms (2 papers). Barbara Sigala collaborates with scholars based in United Kingdom, Italy and Belgium. Barbara Sigala's co-authors include Irina R. Tsaneva, Jude A. Oben, Chad M. McKee, Junpei Soeda, Maelle Morgan, Keshav K. Singh, Jerry Williams, James Russell, Kylie F. Keshav and Angelina Mouralidarane and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Journal of Molecular Biology.

In The Last Decade

Barbara Sigala

9 papers receiving 683 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Barbara Sigala United Kingdom	8	321	182	181	115	87	9	689
Kirsten Hartil United States	12	405 1.3×	288 1.6×	88 0.5×	227 2.0×	100 1.1×	16	790
Clare A. Flannery United States	16	440 1.4×	53 0.3×	252 1.4×	194 1.7×	209 2.4×	26	1.1k
Johanna G. Miquet Argentina	17	285 0.9×	48 0.3×	72 0.4×	133 1.2×	371 4.3×	36	732
Helmut Kipp Germany	14	346 1.1×	169 0.9×	76 0.4×	54 0.5×	176 2.0×	19	892
Darijana Horvat United States	15	172 0.5×	161 0.9×	46 0.3×	64 0.6×	50 0.6×	27	581
Takenobu Kamada Japan	9	457 1.4×	29 0.2×	158 0.9×	174 1.5×	125 1.4×	20	995
Albert H. Bootsma Netherlands	16	611 1.9×	175 1.0×	156 0.9×	165 1.4×	36 0.4×	21	1.0k
Sabine Illsinger Germany	14	227 0.7×	87 0.5×	44 0.2×	122 1.1×	30 0.3×	32	491
Ching-Chyuan Hsieh United States	13	369 1.1×	55 0.3×	74 0.4×	191 1.7×	57 0.7×	15	666
Fengjuan Huang China	15	369 1.1×	24 0.1×	98 0.5×	99 0.9×	62 0.7×	46	739

Countries citing papers authored by Barbara Sigala

Since Specialization

Citations

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

Fields of papers citing papers by Barbara Sigala

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Barbara Sigala

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

All Works

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9 of 9 papers shown

McKee, Chad M., Barbara Sigala, Junpei Soeda, et al.. (2015). Amphiregulin activates human hepatic stellate cells and is upregulated in non alcoholic steatohepatitis. Scientific Reports. 5(1). 8812–8812. 42 indexed citations

Morgan, Maelle, Barbara Sigala, Junpei Soeda, et al.. (2015). Acetylcholine induces fibrogenic effects via M2/M3 acetylcholine receptors in non‐alcoholic steatohepatitis and in primary human hepatic stellate cells. Journal of Gastroenterology and Hepatology. 31(2). 475–483. 18 indexed citations

Sigala, Barbara, Chad M. McKee, Junpei Soeda, et al.. (2013). Sympathetic Nervous System Catecholamines and Neuropeptide Y Neurotransmitters Are Upregulated in Human NAFLD and Modulate the Fibrogenic Function of Hepatic Stellate Cells. PLoS ONE. 8(9). e72928–e72928. 77 indexed citations

Oben, Jude A., Angelina Mouralidarane, Anne‐Maj Samuelsson, et al.. (2010). Maternal obesity during pregnancy and lactation programs the development of offspring non-alcoholic fatty liver disease in mice. Journal of Hepatology. 52(6). 913–920. 244 indexed citations

Wendler, Petra, et al.. (2006). Dodecameric Structure and ATPase Activity of the Human TIP48/TIP49 Complex. Journal of Molecular Biology. 366(1). 179–192. 81 indexed citations

Sigala, Barbara, et al.. (2005). Relocalization of human chromatin remodeling cofactor TIP48 in mitosis. Experimental Cell Research. 310(2). 357–369. 44 indexed citations

Sigala, Barbara, et al.. (2004). The Role of RuvA Octamerization for RuvAB Function in Vitro and in Vivo. Journal of Biological Chemistry. 280(5). 3365–3375. 24 indexed citations

Sigala, Barbara & Irina R. Tsaneva. (2003). Functional dissection of the Schizosaccharomyces pombe Holliday junction resolvase Ydc2: in vivo role in mitochondrial DNA maintenance. European Journal of Biochemistry. 270(13). 2837–2847. 5 indexed citations

Singh, Keshav K., et al.. (1999). Mitochondrial DNA determines the cellular response to cancer therapeutic agents. Oncogene. 18(48). 6641–6646. 154 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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