Eija Heikkilä

702 total citations
9 papers, 347 citations indexed

About

Eija Heikkilä is a scholar working on Molecular Biology, Nephrology and Surgery. According to data from OpenAlex, Eija Heikkilä has authored 9 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Nephrology and 3 papers in Surgery. Recurrent topics in Eija Heikkilä's work include Renal Diseases and Glomerulopathies (5 papers), Pancreatic function and diabetes (3 papers) and Renal and related cancers (2 papers). Eija Heikkilä is often cited by papers focused on Renal Diseases and Glomerulopathies (5 papers), Pancreatic function and diabetes (3 papers) and Renal and related cancers (2 papers). Eija Heikkilä collaborates with scholars based in Finland, Switzerland and United Kingdom. Eija Heikkilä's co-authors include M.A. Maestro, Meritxell Rovira, David Tarussio, Jorge Ferrer, Bernard Thorens, Harry Holthöfer, Sanna Lehtonen, Shixuan Wang, Heikki Ahola and Maria Pia Rastaldi and has published in prestigious journals such as Biochemical Journal, International Journal of Molecular Sciences and Kidney International.

In The Last Decade

Eija Heikkilä

9 papers receiving 346 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eija Heikkilä Finland 8 173 162 108 91 52 9 347
Manzar Shojaiefard Germany 10 49 0.3× 221 1.4× 78 0.7× 86 0.9× 43 0.8× 13 376
Yun Cao China 11 110 0.6× 238 1.5× 51 0.5× 43 0.5× 36 0.7× 15 535
Sung‐Hee Ihm South Korea 14 388 2.2× 111 0.7× 220 2.0× 26 0.3× 251 4.8× 27 574
Yingquan Xiong China 11 51 0.3× 211 1.3× 31 0.3× 57 0.6× 43 0.8× 15 403
Wataru Inaba Japan 11 244 1.4× 137 0.8× 105 1.0× 20 0.2× 170 3.3× 17 468
I-K Lee South Korea 8 76 0.4× 156 1.0× 33 0.3× 36 0.4× 26 0.5× 8 374
Titia E. Woudenberg-Vrenken Netherlands 12 57 0.3× 181 1.1× 63 0.6× 119 1.3× 11 0.2× 12 462
Beverley A. Millward United Kingdom 10 42 0.2× 98 0.6× 45 0.4× 52 0.6× 73 1.4× 14 340
Jan Flesche United States 6 42 0.2× 157 1.0× 26 0.2× 180 2.0× 15 0.3× 6 343
Yoshinori Shimajiri Japan 13 185 1.1× 154 1.0× 168 1.6× 16 0.2× 185 3.6× 27 486

Countries citing papers authored by Eija Heikkilä

Since Specialization
Citations

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

Fields of papers citing papers by Eija Heikkilä

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eija Heikkilä

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

All Works

9 of 9 papers shown
1.
Heikkilä, Eija, Aurélie Hermant, Jonathan Thévenet, et al.. (2019). The plant product quinic acid activates Ca2+‐dependent mitochondrial function and promotes insulin secretion from pancreatic beta cells. British Journal of Pharmacology. 176(17). 3250–3263. 47 indexed citations
2.
Heikkilä, Eija, Claudia Savoia, Asghar Hajibeigi, et al.. (2018). Isx9 Regulates Calbindin D28K Expression in Pancreatic β Cells and Promotes β Cell Survival and Function. International Journal of Molecular Sciences. 19(9). 2542–2542. 7 indexed citations
3.
Thorens, Bernard, David Tarussio, M.A. Maestro, et al.. (2014). Ins1 Cre knock-in mice for beta cell-specific gene recombination. Diabetologia. 58(3). 558–565. 153 indexed citations
4.
Wang, Hong, Sanna Lehtonen, Yu‐Chia Chen, et al.. (2011). Neph3 associates with regulation of glomerular and neural development in zebrafish. Differentiation. 83(1). 38–46. 9 indexed citations
5.
Heikkilä, Eija, et al.. (2011). Trans-interaction of nephrin and Neph1/Neph3 induces cell adhesion that associates with decreased tyrosine phosphorylation of nephrin. Biochemical Journal. 435(3). 619–628. 21 indexed citations
6.
Hyvönen, Mervi E., Anita A. Wasik, Eija Heikkilä, et al.. (2010). Lipid phosphatase SHIP2 downregulates insulin signalling in podocytes. Molecular and Cellular Endocrinology. 328(1-2). 70–79. 45 indexed citations
7.
Heikkilä, Eija, Karlhans Endlich, Sanna Lehtonen, et al.. (2007). Densin and beta-catenin form a complex and co-localize in cultured podocyte cell junctions. Molecular and Cellular Biochemistry. 305(1-2). 9–18. 15 indexed citations
8.
Lassila, Markus, Juuso Juhila, Eija Heikkilä, & Harry Holthöfer. (2006). Densin is a novel cell membrane protein of sertoli cells in the testis. Molecular Reproduction and Development. 74(5). 641–645. 5 indexed citations
9.
Wang, Shixuan, et al.. (2002). Patterns of nephrin and a new proteinuria-associated protein expression in human renal diseases. Kidney International. 61(1). 141–147. 45 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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