Karin F.K. Ejendal

45 total papers · 1.6k total citations
25 papers, 1.2k citations indexed

About

Karin F.K. Ejendal is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Oncology. According to data from OpenAlex, Karin F.K. Ejendal has authored 25 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 11 papers in Cellular and Molecular Neuroscience and 4 papers in Oncology. Recurrent topics in Karin F.K. Ejendal's work include Neurobiology and Insect Physiology Research (6 papers), Receptor Mechanisms and Signaling (4 papers) and Drug Transport and Resistance Mechanisms (4 papers). Karin F.K. Ejendal is often cited by papers focused on Neurobiology and Insect Physiology Research (6 papers), Receptor Mechanisms and Signaling (4 papers) and Drug Transport and Resistance Mechanisms (4 papers). Karin F.K. Ejendal collaborates with scholars based in United States, Sweden and Switzerland. Karin F.K. Ejendal's co-authors include Christine A. Hrycyna, Val J. Watts, Jason M. Meyer, Ueli Grossniklaus, Joshua J. Blakeslee, Axel Müller, Anindita Bandyopadhyay, Boosaree Titapiwatanakun, Aaron P. Smith and Robert Dudler and has published in prestigious journals such as Cancer Research, The Plant Journal and Methods in enzymology on CD-ROM/Methods in enzymology.

In The Last Decade

Karin F.K. Ejendal

23 papers receiving 1.2k citations

Author Peers

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

Author Last Decade Papers Cites
Karin F.K. Ejendal 679 429 298 125 116 25 1.2k
H. E. Swim 622 0.9× 151 0.4× 75 0.3× 38 0.3× 126 1.1× 39 1.3k
Shihua Yang 1.1k 1.6× 178 0.4× 116 0.4× 41 0.3× 26 0.2× 34 1.5k
Xiaotong Luo 853 1.3× 306 0.7× 85 0.3× 65 0.5× 50 0.4× 14 1.4k
Tünde Nagy 326 0.5× 82 0.2× 369 1.2× 67 0.5× 62 0.5× 46 954
Rosanna Martinelli 625 0.9× 126 0.3× 150 0.5× 27 0.2× 77 0.7× 32 1.2k
Seong Kyu Han 484 0.7× 51 0.1× 106 0.4× 67 0.5× 78 0.7× 31 1.1k
Hanna Lee 580 0.9× 66 0.2× 136 0.5× 131 1.0× 30 0.3× 44 1.4k
Youheng Wei 647 1.0× 68 0.2× 105 0.4× 67 0.5× 64 0.6× 55 1.1k
Shanta M. Messerli 537 0.8× 43 0.1× 159 0.5× 60 0.5× 30 0.3× 31 1.1k
Robert R. Bürk 953 1.4× 77 0.2× 143 0.5× 59 0.5× 33 0.3× 19 1.3k

Countries citing papers authored by Karin F.K. Ejendal

Since Specialization
Citations

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

Fields of papers citing papers by Karin F.K. Ejendal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Karin F.K. Ejendal. 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 Karin F.K. Ejendal. The network helps show where Karin F.K. Ejendal may publish in the future.

Co-authorship network of co-authors of Karin F.K. Ejendal

This figure shows the co-authorship network connecting the top 25 collaborators of Karin F.K. Ejendal. A scholar is included among the top collaborators of Karin F.K. Ejendal 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 Karin F.K. Ejendal. Karin F.K. Ejendal 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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