Marie Jaksch

20 total papers · 751 total citations
14 papers, 545 citations indexed

About

Marie Jaksch is a scholar working on Hematology, Immunology and Hepatology. According to data from OpenAlex, Marie Jaksch has authored 14 papers receiving a total of 545 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Hematology, 8 papers in Immunology and 3 papers in Hepatology. Recurrent topics in Marie Jaksch's work include Hematopoietic Stem Cell Transplantation (8 papers), T-cell and B-cell Immunology (5 papers) and Immune Cell Function and Interaction (4 papers). Marie Jaksch is often cited by papers focused on Hematopoietic Stem Cell Transplantation (8 papers), T-cell and B-cell Immunology (5 papers) and Immune Cell Function and Interaction (4 papers). Marie Jaksch collaborates with scholars based in Sweden, United States and Croatia. Marie Jaksch's co-authors include Jonas Mattsson, Mats Remberger, Mehmet Uzunel, Suchitra Sumitran–Holgersson, Ulrika Broomé, Jorge O. Múnera, Alexey V. Terskikh, Robert G. Oshima, Ruchi Bajpai and Olle Ringdén and has published in prestigious journals such as Blood, Gastroenterology and PLoS ONE.

In The Last Decade

Marie Jaksch

14 papers receiving 539 citations

Author Peers

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

Author Last Decade Papers Cites
Marie Jaksch 207 139 134 124 123 14 545
Laura Bellio 200 1.0× 142 1.0× 184 1.4× 58 0.5× 65 0.5× 15 503
Cordelia E. Sever 130 0.6× 182 1.3× 184 1.4× 75 0.6× 199 1.6× 17 569
Michael Conzelmann 160 0.8× 174 1.3× 144 1.1× 50 0.4× 120 1.0× 14 499
Mónica Jiménez 129 0.6× 86 0.6× 160 1.2× 64 0.5× 32 0.3× 12 521
Joseph P. Abraham 250 1.2× 74 0.5× 66 0.5× 48 0.4× 129 1.0× 19 600
Luigia Monitillo 151 0.7× 44 0.3× 121 0.9× 22 0.2× 134 1.1× 16 497
Teruhiko Kozuka 191 0.9× 228 1.6× 128 1.0× 43 0.3× 69 0.6× 24 486
Angelo Palmas 141 0.7× 120 0.9× 214 1.6× 83 0.7× 63 0.5× 18 484
Santiago Gil 406 2.0× 95 0.7× 79 0.6× 61 0.5× 60 0.5× 17 519
Mary Ellen Rybak 294 1.4× 41 0.3× 168 1.3× 64 0.5× 229 1.9× 15 583

Countries citing papers authored by Marie Jaksch

Since Specialization
Citations

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

Fields of papers citing papers by Marie Jaksch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marie Jaksch

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