Daniel Ekman

2.5k total citations · 1 hit paper
4 papers, 1.2k citations indexed

About

Daniel Ekman is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Ecology. According to data from OpenAlex, Daniel Ekman has authored 4 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 1 paper in Pulmonary and Respiratory Medicine and 1 paper in Ecology. Recurrent topics in Daniel Ekman's work include Blood transfusion and management (1 paper), Advanced Biosensing Techniques and Applications (1 paper) and Biosensors and Analytical Detection (1 paper). Daniel Ekman is often cited by papers focused on Blood transfusion and management (1 paper), Advanced Biosensing Techniques and Applications (1 paper) and Biosensors and Analytical Detection (1 paper). Daniel Ekman collaborates with scholars based in Sweden, Denmark and United States. Daniel Ekman's co-authors include Johan Björkesten, Erika Assarsson, Martin Lundberg, Ann‐Catrin Andersson, Göran Holmquist, Gabriella Edfeldt, Mats Gullberg, Jan Stenvang, Anna Eriksson and Simon Fredriksson and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and PLoS ONE.

In The Last Decade

Daniel Ekman

4 papers receiving 1.2k citations

Hit Papers

Homogenous 96-Plex PEA Immunoassay Exhibiting High Sensit... 2014 2026 2018 2022 2014 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Ekman Sweden 4 370 220 162 154 151 4 1.2k
Johan Björkesten Sweden 7 476 1.3× 257 1.2× 189 1.2× 190 1.2× 161 1.1× 8 1.5k
Ayumi Hida Japan 26 470 1.3× 285 1.3× 221 1.4× 192 1.2× 295 2.0× 87 2.2k
Enrico M. Novelli United States 25 470 1.3× 270 1.2× 130 0.8× 309 2.0× 100 0.7× 95 2.1k
Hirotsugu Iwatani Japan 18 342 0.9× 175 0.8× 154 1.0× 109 0.7× 99 0.7× 48 1.2k
Hongjun Liu China 19 339 0.9× 174 0.8× 297 1.8× 207 1.3× 194 1.3× 89 1.4k
Jean‐Philippe Defour Belgium 15 393 1.1× 169 0.8× 158 1.0× 123 0.8× 59 0.4× 29 1.4k
Barbara Toffoli Italy 21 560 1.5× 263 1.2× 153 0.9× 113 0.7× 263 1.7× 45 1.2k
Lalitha Nayak United States 19 839 2.3× 326 1.5× 132 0.8× 106 0.7× 207 1.4× 57 2.0k
Jason Kim United States 19 358 1.0× 109 0.5× 365 2.3× 187 1.2× 220 1.5× 78 1.4k

Countries citing papers authored by Daniel Ekman

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Ekman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Ekman

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

All Works

4 of 4 papers shown
1.
Shen, Qiujin, Johan Björkesten, Joakim Galli, et al.. (2017). Strong impact on plasma protein profiles by precentrifugation delay but not by repeated freeze-thaw cycles, as analyzed using multiplex proximity extension assays. Clinical Chemistry and Laboratory Medicine (CCLM). 56(4). 582–594. 37 indexed citations
2.
Ekman, Daniel, Inger Gustavsson, Karin Sundfeldt, et al.. (2016). Protein Detection Using the Multiplexed Proximity Extension Assay (PEA) from Plasma and Vaginal Fluid Applied to the Indicating FTA Elute Micro Card™. SHILAP Revista de lepidopterología. 5. 9–9. 6 indexed citations
3.
Lendvai, Nikoletta, Sean M. Devlin, Minal Patel, et al.. (2015). Biomarkers of Cardiotoxicity Among Multiple Myeloma Patients Subsequently Treated with Proteasome Inhibitor Therapy. Blood. 126(23). 4257–4257. 7 indexed citations
4.
Assarsson, Erika, Martin Lundberg, Göran Holmquist, et al.. (2014). Homogenous 96-Plex PEA Immunoassay Exhibiting High Sensitivity, Specificity, and Excellent Scalability. PLoS ONE. 9(4). e95192–e95192. 1147 indexed citations breakdown →

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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