Sverker Eneström

39 total papers · 648 total citations
33 papers, 507 citations indexed

About

Sverker Eneström is a scholar working on Molecular Biology, Nephrology and Genetics. According to data from OpenAlex, Sverker Eneström has authored 33 papers receiving a total of 507 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 4 papers in Nephrology and 4 papers in Genetics. Recurrent topics in Sverker Eneström's work include Glioma Diagnosis and Treatment (4 papers), Heavy Metal Exposure and Toxicity (3 papers) and Renal Diseases and Glomerulopathies (3 papers). Sverker Eneström is often cited by papers focused on Glioma Diagnosis and Treatment (4 papers), Heavy Metal Exposure and Toxicity (3 papers) and Renal Diseases and Glomerulopathies (3 papers). Sverker Eneström collaborates with scholars based in Sweden, Denmark and United States. Sverker Eneström's co-authors include Per Hultman, J. Hed, Barbara Kniola, Bo Nordenskjöld, Ulf Lindh, Shannon J. Turley, Olav Thulesius, Ove Dehlin, Sten Wingren and H. von Schenck and has published in prestigious journals such as The Journal of Cell Biology, Cancer and Journal of neurosurgery.

In The Last Decade

Sverker Eneström

33 papers receiving 462 citations

Author Peers

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

Author Last Decade Papers Cites
Sverker Eneström 117 108 93 47 45 33 507
Yuanyuan Xu 76 0.6× 59 0.5× 199 2.1× 22 0.5× 41 0.9× 40 619
Ludivine Renaud 58 0.5× 66 0.6× 257 2.8× 65 1.4× 46 1.0× 29 540
Burçak Vural 56 0.5× 36 0.3× 251 2.7× 36 0.8× 60 1.3× 38 565
Lijun Mo 172 1.5× 45 0.4× 223 2.4× 9 0.2× 32 0.7× 34 562
Tao Li 77 0.7× 22 0.2× 156 1.7× 22 0.5× 65 1.4× 43 547
Jian Li 42 0.4× 27 0.3× 158 1.7× 42 0.9× 54 1.2× 31 522
Yi Shen 272 2.3× 25 0.2× 150 1.6× 24 0.5× 22 0.5× 19 558
S. Haumont 98 0.8× 22 0.2× 150 1.6× 13 0.3× 49 1.1× 22 529
Qian Li 82 0.7× 16 0.1× 136 1.5× 19 0.4× 75 1.7× 44 614
Motohide Takahama 42 0.4× 21 0.2× 143 1.5× 75 1.6× 116 2.6× 29 491

Countries citing papers authored by Sverker Eneström

Since Specialization
Citations

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

Fields of papers citing papers by Sverker Eneström

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sverker Eneström

This figure shows the co-authorship network connecting the top 25 collaborators of Sverker Eneström. A scholar is included among the top collaborators of Sverker Eneström 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 Sverker Eneström. Sverker Eneström 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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