Emma C. Skoog

21 total papers · 1.1k total citations
15 papers, 807 citations indexed

About

Emma C. Skoog is a scholar working on Surgery, Immunology and Molecular Biology. According to data from OpenAlex, Emma C. Skoog has authored 15 papers receiving a total of 807 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Surgery, 9 papers in Immunology and 6 papers in Molecular Biology. Recurrent topics in Emma C. Skoog's work include Helicobacter pylori-related gastroenterology studies (15 papers), Galectins and Cancer Biology (8 papers) and Glycosylation and Glycoproteins Research (6 papers). Emma C. Skoog is often cited by papers focused on Helicobacter pylori-related gastroenterology studies (15 papers), Galectins and Cancer Biology (8 papers) and Glycosylation and Glycoproteins Research (6 papers). Emma C. Skoog collaborates with scholars based in Sweden, United States and Belgium. Emma C. Skoog's co-authors include Sara K. Lindén, Kim Miles, Yonghua Sheng, Alison L. Every, Timothy H. Florin, Philip Sutton, Michael A. McGuckin, Jay V. Solnick, Médea Padra and Niclas G. Karlsson and has published in prestigious journals such as Gastroenterology, PLoS ONE and Scientific Reports.

In The Last Decade

Emma C. Skoog

15 papers receiving 798 citations

Author Peers

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

Author Last Decade Papers Cites
Emma C. Skoog 390 374 312 105 91 15 807
Alison L. Every 321 0.8× 368 1.0× 319 1.0× 25 0.2× 100 1.1× 27 783
Annkatrin Herrmann 471 1.2× 130 0.3× 127 0.4× 179 1.7× 35 0.4× 17 844
Marion Sparrius 341 0.9× 209 0.6× 223 0.7× 31 0.3× 69 0.8× 18 940
Hans-Peter Wirth 193 0.5× 693 1.9× 541 1.7× 30 0.3× 218 2.4× 11 1000
Toni A. Nagy 346 0.9× 449 1.2× 310 1.0× 15 0.1× 61 0.7× 24 1.0k
Carlos A. Rivera-Marrero 389 1.0× 236 0.6× 340 1.1× 91 0.9× 30 0.3× 18 904
Ernst T. Rietschel 379 1.0× 70 0.2× 510 1.6× 111 1.1× 19 0.2× 14 989
Stéphane Skouloubris 522 1.3× 328 0.9× 105 0.3× 22 0.2× 73 0.8× 24 887
Fereshteh Jafari 219 0.6× 466 1.2× 180 0.6× 14 0.1× 59 0.6× 26 1.0k
Aušra Raudonikiene 280 0.7× 326 0.9× 157 0.5× 19 0.2× 131 1.4× 18 705

Countries citing papers authored by Emma C. Skoog

Since Specialization
Citations

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

Fields of papers citing papers by Emma C. Skoog

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emma C. Skoog. 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 Emma C. Skoog. The network helps show where Emma C. Skoog may publish in the future.

Co-authorship network of co-authors of Emma C. Skoog

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

All Works

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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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