Michael Lappé

3.5k total citations · 1 hit paper
34 papers, 1.7k citations indexed

About

Michael Lappé is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, Michael Lappé has authored 34 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 5 papers in Computational Theory and Mathematics and 4 papers in Materials Chemistry. Recurrent topics in Michael Lappé's work include Protein Structure and Dynamics (18 papers), Bioinformatics and Genomic Networks (11 papers) and Genomics and Phylogenetic Studies (6 papers). Michael Lappé is often cited by papers focused on Protein Structure and Dynamics (18 papers), Bioinformatics and Genomic Networks (11 papers) and Genomics and Phylogenetic Studies (6 papers). Michael Lappé collaborates with scholars based in Germany, United Kingdom and Finland. Michael Lappé's co-authors include Michael P. H. Stumpf, Thomas Thorne, R. J. C. Stewart, Carsten Wiuf, Eric de Silva, Liisa Holm, Jong Moon Park, Henning Stehr, Sarah A. Teichmann and José M. Duarte and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Biotechnology and Bioinformatics.

In The Last Decade

Michael Lappé

33 papers receiving 1.6k citations

Hit Papers

Estimating the size of the human interactome 2008 2026 2014 2020 2008 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michael Lappé Germany 18 1.3k 251 163 163 119 34 1.7k
Stefano Lise United Kingdom 19 707 0.5× 120 0.5× 133 0.8× 172 1.1× 129 1.1× 33 1.3k
Dongsup Kim South Korea 31 2.0k 1.5× 502 2.0× 296 1.8× 122 0.7× 157 1.3× 111 2.7k
Andrew Winter United Kingdom 11 1.7k 1.3× 296 1.2× 24 0.1× 121 0.7× 150 1.3× 17 2.0k
Max Kotlyar Canada 20 1.1k 0.8× 221 0.9× 29 0.2× 114 0.7× 127 1.1× 49 1.6k
Faruck Morcos United States 24 2.3k 1.8× 186 0.7× 389 2.4× 70 0.4× 67 0.6× 66 2.7k
Yo Matsuo Japan 29 1.7k 1.3× 79 0.3× 351 2.2× 263 1.6× 135 1.1× 58 2.1k
Marc Hafner United States 19 1.2k 0.9× 470 1.9× 50 0.3× 467 2.9× 246 2.1× 58 2.0k
Xiaoqi Zheng China 26 1.7k 1.3× 378 1.5× 72 0.4× 178 1.1× 256 2.2× 101 2.2k
Najeeb Halabi Qatar 12 732 0.6× 62 0.2× 100 0.6× 118 0.7× 185 1.6× 25 1.1k
William W. Chen United States 13 872 0.7× 120 0.5× 135 0.8× 77 0.5× 60 0.5× 14 1.1k

Countries citing papers authored by Michael Lappé

Since Specialization
Citations

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

Fields of papers citing papers by Michael Lappé

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Lappé

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

All Works

20 of 20 papers shown
1.
Farahani, Ensieh, Line S. Reinert, Ryo Narita, et al.. (2024). The HIF transcription network exerts innate antiviral activity in neurons and limits brain inflammation. Cell Reports. 43(2). 113792–113792. 6 indexed citations
2.
Strino, Francesco & Michael Lappé. (2016). Identifying peaks in *-seq data using shape information. BMC Bioinformatics. 17(S5). 206–206. 12 indexed citations
3.
Leutz, Achim, Ole Pleß, Michael Lappé, Gunnar Dittmar, & Elisabeth Kowenz‐Leutz. (2011). Crosstalk between phosphorylation and multi-site arginine/lysine methylation in C/EBPs. Transcription. 2(1). 3–8. 24 indexed citations
4.
Lappé, Michael. (2011). A cell extraction method for oily sediments. Frontiers in Microbiology. 2. 233–233. 5 indexed citations
5.
Stehr, Henning, José M. Duarte, Michael Lappé, Jong Bhak, & Dan Bolser. (2010). PDBWiki: added value through community annotation of the Protein Data Bank. Database. 2010(0). baq009–baq009. 21 indexed citations
6.
Duarte, José M., et al.. (2010). Optimal contact definition for reconstruction of Contact Maps. BMC Bioinformatics. 11(1). 283–283. 40 indexed citations
7.
Timmermann, Bernd, Martin Kerick, Axel Fischer, et al.. (2010). Somatic Mutation Profiles of MSI and MSS Colorectal Cancer Identified by Whole Exome Next Generation Sequencing and Bioinformatics Analysis. PLoS ONE. 5(12). e15661–e15661. 184 indexed citations
8.
Lappé, Michael, et al.. (2009). Designing evolvable libraries using multi-body potentials. Current Opinion in Biotechnology. 20(4). 437–446. 4 indexed citations
9.
Milenković, Tijana, Ioannis Filippis, Michael Lappé, & Nataša Pržulj. (2009). Optimized Null Model for Protein Structure Networks. PLoS ONE. 4(6). e5967–e5967. 28 indexed citations
10.
Duarte, José M., et al.. (2009). Defining an Essence of Structure Determining Residue Contacts in Proteins. PLoS Computational Biology. 5(12). e1000584–e1000584. 31 indexed citations
11.
Daujat, Sylvain, Thomas S. Weiß, Fabio Mohn, et al.. (2009). H3K64 trimethylation marks heterochromatin and is dynamically remodeled during developmental reprogramming. Nature Structural & Molecular Biology. 16(7). 777–781. 107 indexed citations
12.
Stumpf, Michael P. H., Thomas Thorne, Eric de Silva, et al.. (2008). Estimating the size of the human interactome. Proceedings of the National Academy of Sciences. 105(19). 6959–6964. 563 indexed citations breakdown →
13.
Bolser, Dan, Ioannis Filippis, Henning Stehr, José M. Duarte, & Michael Lappé. (2008). Residue contact-count potentials are as effective as residue-residue contact-type potentials for ranking protein decoys. BMC Structural Biology. 8(1). 53–53. 9 indexed citations
14.
Paszkiewicz, Konrad, Michael J.E. Sternberg, & Michael Lappé. (2006). Prediction of viable circular permutants using a graph theoretic approach. Bioinformatics. 22(11). 1353–1358. 15 indexed citations
15.
Gong, Sungsam, Giwan Yoon, In Sock Jang, et al.. (2005). PSIbase: a database of Protein Structural Interactome map (PSIMAP). Computer applications in the biosciences. 21(10). 2541–2543. 71 indexed citations
16.
Park, Daeui, Semin Lee, Dan Bolser, et al.. (2005). Comparative interactomics analysis of protein family interaction networks using PSIMAP (protein structural interactome map). Bioinformatics. 21(15). 3234–3240. 25 indexed citations
17.
Lappé, Michael & Liisa Holm. (2003). Unraveling protein interaction networks with near-optimal efficiency. Nature Biotechnology. 22(1). 98–103. 57 indexed citations
18.
Park, Jong Moon, Michael Lappé, & Sarah A. Teichmann. (2001). Mapping protein family interactions: intramolecular and intermolecular protein family interaction repertoires in the PDB and yeast11Edited by J. Karn. Journal of Molecular Biology. 307(3). 929–938. 131 indexed citations
19.
Lappé, Michael, Jong Moon Park, Oliver Niggemann, & Liisa Holm. (2001). Generating protein interaction maps from incomplete data: application to fold assignment. Bioinformatics. 17(suppl_1). S149–S156. 24 indexed citations
20.
Shoudai, Takayoshi, Michael Lappé, Satoru Miyano, et al.. (1995). BONSAI Garden: parallel knowledge discovery system for amino acid sequences.. PubMed. 3. 359–66. 2 indexed citations

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