Marja Heiskala

33 total papers · 1.6k total citations
26 papers, 1.3k citations indexed

About

Marja Heiskala is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Marja Heiskala has authored 26 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Immunology, 9 papers in Molecular Biology and 8 papers in Oncology. Recurrent topics in Marja Heiskala's work include Immune Cell Function and Interaction (8 papers), Polyamine Metabolism and Applications (4 papers) and Amino Acid Enzymes and Metabolism (3 papers). Marja Heiskala is often cited by papers focused on Immune Cell Function and Interaction (8 papers), Polyamine Metabolism and Applications (4 papers) and Amino Acid Enzymes and Metabolism (3 papers). Marja Heiskala collaborates with scholars based in Finland, United States and Germany. Marja Heiskala's co-authors include Per A. Peterson, Pauline T. Lieu, Young Mok Yang, Young Chul Yang, Leif C. Andersson, Kaarle Franssila, Tuomo Timonen, Hannu Heiskala, Kristiina Joensuu and Kristiina Kanerva and has published in prestigious journals such as Journal of Clinical Oncology, The EMBO Journal and Blood.

In The Last Decade

Marja Heiskala

25 papers receiving 1.2k citations

Hit Papers

The roles of iron in heal... 2001 2026 2009 2017 2001 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Marja Heiskala 424 226 220 220 166 26 1.3k
Zuzana Valnickova 832 2.0× 131 0.6× 242 1.1× 131 0.6× 188 1.1× 48 1.8k
Jiashuo Zheng 1.0k 2.4× 153 0.7× 139 0.6× 217 1.0× 251 1.5× 23 1.7k
Robert W. Kellermeyer 470 1.1× 157 0.7× 291 1.3× 126 0.6× 116 0.7× 45 1.7k
Louise Dunn 725 1.7× 134 0.6× 235 1.1× 183 0.8× 144 0.9× 44 1.7k
Ross M. Graham 483 1.1× 106 0.5× 425 1.9× 345 1.6× 107 0.6× 42 1.6k
Elena Gammella 565 1.3× 187 0.8× 501 2.3× 242 1.1× 131 0.8× 33 1.6k
Izumi Yanatori 813 1.9× 163 0.7× 493 2.2× 408 1.9× 75 0.5× 32 1.8k
Matthew J. Taylor 645 1.5× 237 1.0× 230 1.0× 125 0.6× 116 0.7× 31 1.8k
Karla Wasserloos 575 1.4× 97 0.4× 144 0.7× 555 2.5× 177 1.1× 35 1.5k
Patrick L. Coleman 495 1.2× 143 0.6× 305 1.4× 88 0.4× 200 1.2× 41 1.7k

Countries citing papers authored by Marja Heiskala

Since Specialization
Citations

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

Fields of papers citing papers by Marja Heiskala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marja Heiskala

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