Maria Wille

31 total papers · 688 total citations
23 papers, 533 citations indexed

About

Maria Wille is a scholar working on Genetics, Endocrine and Autonomic Systems and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Maria Wille has authored 23 papers receiving a total of 533 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Genetics, 15 papers in Endocrine and Autonomic Systems and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Maria Wille's work include High Altitude and Hypoxia (21 papers), Neuroscience of respiration and sleep (15 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (5 papers). Maria Wille is often cited by papers focused on High Altitude and Hypoxia (21 papers), Neuroscience of respiration and sleep (15 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (5 papers). Maria Wille collaborates with scholars based in Austria, United States and Nepal. Maria Wille's co-authors include Martin Burtscher, Hannes Gatterer, Martin Faulhaber, Thomas Bücher, Gregor Broessner, D. Heinrich, Verena Menz, Wilhelm Grander, Henry C. Lukaski and Andreas Melmer and has published in prestigious journals such as Blood, PLoS ONE and The American Journal of Cardiology.

In The Last Decade

Maria Wille

22 papers receiving 523 citations

Author Peers

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

Author						Papers	Cites
Maria Wille	433	276	132	120	103	23	533
Francesca Gregorini	338 0.8×	241 0.9×	47 0.4×	128 1.1×	189 1.8×	18	502
P. Larmignat	232 0.5×	132 0.5×	48 0.4×	117 1.0×	222 2.2×	26	575
Antoni Ricart	476 1.1×	203 0.7×	32 0.2×	234 1.9×	108 1.0×	17	593
A. J. Micco	330 0.8×	260 0.9×	70 0.5×	156 1.3×	151 1.5×	18	589
Edward T. Gilbert-Kawai	325 0.8×	147 0.5×	32 0.2×	144 1.2×	88 0.9×	31	553
Janet E. Staab	444 1.0×	248 0.9×	136 1.0×	183 1.5×	57 0.6×	25	545
Christian M. Lo Cascio	170 0.4×	173 0.6×	45 0.3×	172 1.4×	75 0.7×	30	452
Peter D. Hodkinson	216 0.5×	92 0.3×	42 0.3×	109 0.9×	85 0.8×	25	501
José Luis Macarlupú	373 0.9×	220 0.8×	44 0.3×	145 1.2×	121 1.2×	31	472
Elke Hohenhaus	374 0.9×	278 1.0×	112 0.8×	214 1.8×	116 1.1×	13	553

Countries citing papers authored by Maria Wille

Since Specialization

Citations

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

Fields of papers citing papers by Maria Wille

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Wille

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