Marceline Huppmann

9 total papers · 844 total citations
5 papers, 666 citations indexed

About

Marceline Huppmann is a scholar working on Genetics, Molecular Biology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Marceline Huppmann has authored 5 papers receiving a total of 666 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Genetics, 2 papers in Molecular Biology and 2 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Marceline Huppmann's work include Diabetes and associated disorders (2 papers), Birth, Development, and Health (1 paper) and Chronic Obstructive Pulmonary Disease (COPD) Research (1 paper). Marceline Huppmann is often cited by papers focused on Diabetes and associated disorders (2 papers), Birth, Development, and Health (1 paper) and Chronic Obstructive Pulmonary Disease (COPD) Research (1 paper). Marceline Huppmann collaborates with scholars based in Germany, Austria and Italy. Marceline Huppmann's co-authors include Andreas W. Flemmer, Susanne Herber-Jonat, Andrea Schams, Matthias Griese, Günther Hasenpusch, Dominik Hartl, Gabriela Nica, Manish K. Aneja, Lauren E. Mays and Carsten Rudolph and has published in prestigious journals such as Nature Biotechnology, Diabetes Care and Diabetologia.

In The Last Decade

Marceline Huppmann

5 papers receiving 643 citations

Hit Papers

Expression of therapeutic... 2011 2026 2016 2021 2011 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Marceline Huppmann 528 230 112 83 59 5 666
B.C. Trapnell 453 0.9× 526 2.3× 100 0.9× 50 0.6× 106 1.8× 9 757
Ichiro Masaki 344 0.7× 175 0.8× 40 0.4× 149 1.8× 78 1.3× 10 623
Sofya S. Perelman 576 1.1× 143 0.6× 81 0.7× 53 0.6× 45 0.8× 8 703
Susan Amanda Lund 234 0.4× 98 0.4× 97 0.9× 58 0.7× 29 0.5× 6 644
Jian Deng 368 0.7× 180 0.8× 95 0.8× 50 0.6× 57 1.0× 8 687
Paul D. Robbins 375 0.7× 302 1.3× 164 1.5× 86 1.0× 24 0.4× 8 702
Maija Kossila 482 0.9× 375 1.6× 39 0.3× 129 1.6× 23 0.4× 7 673
Timothy Baradet 215 0.4× 271 1.2× 62 0.6× 159 1.9× 55 0.9× 5 582
L.L Shears 384 0.7× 382 1.7× 48 0.4× 131 1.6× 48 0.8× 6 647
Gilles Besin 377 0.7× 123 0.5× 300 2.7× 27 0.3× 90 1.5× 11 697

Countries citing papers authored by Marceline Huppmann

Since Specialization
Citations

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

Fields of papers citing papers by Marceline Huppmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marceline Huppmann

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