Maria DeMol

8 total papers · 417 total citations
4 papers, 317 citations indexed

About

Maria DeMol is a scholar working on Physiology, Immunology and Surgery. According to data from OpenAlex, Maria DeMol has authored 4 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Physiology, 3 papers in Immunology and 2 papers in Surgery. Recurrent topics in Maria DeMol's work include Phagocytosis and Immune Regulation (3 papers), Erythrocyte Function and Pathophysiology (3 papers) and Pancreatic function and diabetes (2 papers). Maria DeMol is often cited by papers focused on Phagocytosis and Immune Regulation (3 papers), Erythrocyte Function and Pathophysiology (3 papers) and Pancreatic function and diabetes (2 papers). Maria DeMol collaborates with scholars based in United States, Switzerland and Belgium. Maria DeMol's co-authors include Peter Carmeliet, Edward M. Conway, Greg Lemke, Anne Angelillo‐Scherrer, H. Shelton Earp, Glenn K. Matsushima, Laurent Burnier, Désiré Collen, Stephen P. Goff and Stéphane Plaisance and has published in prestigious journals such as Journal of Clinical Investigation and The Journal of Pathology.

In The Last Decade

Maria DeMol

4 papers receiving 312 citations

Author Peers

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

Author Last Decade Papers Cites
Maria DeMol 203 85 78 69 68 4 317
Lola Bellido‐Martín 174 0.9× 68 0.8× 44 0.6× 79 1.1× 83 1.2× 7 357
Kathrin Schwierczek 90 0.4× 31 0.4× 133 1.7× 33 0.5× 63 0.9× 5 343
Xuan Wan 172 0.8× 62 0.7× 50 0.6× 23 0.3× 72 1.1× 6 358
A. M. Carter 62 0.3× 23 0.3× 115 1.5× 36 0.5× 54 0.8× 6 361
Henriette Josephine Kaminski 121 0.6× 16 0.2× 82 1.1× 26 0.4× 75 1.1× 4 354
Radovan Keul 157 0.8× 37 0.4× 43 0.6× 21 0.3× 99 1.5× 8 358
Tom Coffman 61 0.3× 71 0.8× 25 0.3× 47 0.7× 149 2.2× 6 349
Shane E. Russell 174 0.9× 33 0.4× 22 0.3× 31 0.4× 58 0.9× 7 283
J. Abbink 62 0.3× 81 1.0× 135 1.7× 26 0.4× 67 1.0× 5 335
Judith Bauer 215 1.1× 43 0.5× 83 1.1× 17 0.2× 54 0.8× 4 345

Countries citing papers authored by Maria DeMol

Since Specialization
Citations

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

Fields of papers citing papers by Maria DeMol

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria DeMol

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