Gudrun M. Spitzer

1.1k citations
18 papers · 864 indexed · h-index 14
Topics
Computational Drug Discovery Methods (9 papers)Protein Structure and Dynamics (4 papers)DNA and Nucleic Acid Chemistry (4 papers)
Partner nations
AustriaGermanyDenmark

In The Last Decade

Gudrun M. Spitzer

18 papers receiving 853 citations

Peers

Gudrun M. Spitzer
Comparison fields: 5 of 103
  • Molecular Biology 568
  • Computational Theory and Mathematics 364
  • Pharmacology 127
  • Organic Chemistry 119
  • Oncology 87
Replace Eric S. Dawson with:
Eric S. Dawson United States
Hugues‐Olivier Bertrand France
Jens‐Uwe Peters Switzerland
Danfeng Shi China
Mark Namchuk United States
Minos–Timotheos Matsoukas Greece
Corinne Kay United Kingdom
Mark A. Findeis United States
Andrew Anighoro Italy
Noeris K. Salam Australia
Gudrun M. Spitzer relative to Eric S. Dawson United States Eric S. Dawson's profile →
Citations per field
00.5×1.7×
Eric S. Dawson · 1×
Citations per year

Countries citing papers authored by Gudrun M. Spitzer

Since Specialization
Citations

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

Fields of papers citing papers by Gudrun M. Spitzer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gudrun M. Spitzer. 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 Gudrun M. Spitzer. The network helps show where Gudrun M. Spitzer may publish in the future.

Co-authorship network of co-authors of Gudrun M. Spitzer

This figure shows the co-authorship network connecting the top 25 collaborators of Gudrun M. Spitzer. A scholar is included among the top collaborators of Gudrun M. Spitzer 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 Gudrun M. Spitzer. Gudrun M. Spitzer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
#WorkIndexed citations
1 45
2 25
3 141
4 121
5 41
6 15
7 39
8 163
9 10
10 13
11 53
12 18
13 54
14 69
15 26
16 1
17 26
18
Determination of clonality in acute nonlymphocytic leukemia by restriction fragment length polymorphism and methylation analysis.
4

About Gudrun M. Spitzer

Gudrun M. Spitzer is a scholar working on Computational Theory and Mathematics, Molecular Biology and Biophysics, having authored 18 papers that have together received 864 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (9 papers), Protein Structure and Dynamics (4 papers) and DNA and Nucleic Acid Chemistry (4 papers). The work is most often cited by research in Computational Theory and Mathematics (364 citations), Biological Psychiatry (25 citations) and Molecular Biology (568 citations). Gudrun M. Spitzer has collaborated with scholars based in Austria, Germany and Denmark. Frequent co-authors include Klaus R. Liedl, Johannes Kirchmair, Gerhard Wolber, Patrick Markt, Simona Distinto, Daniela Schuster, Markus Muehlbacher, Johannes Kornhuber, Thierry Langer and Julian E. Fuchs. Their work appears in journals such as PLoS ONE, Journal of Medicinal Chemistry and PLoS Computational Biology.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026