Jörg Menche

8.3k total citations · 3 hit papers
53 papers, 3.2k citations indexed

About

Jörg Menche is a scholar working on Molecular Biology, Statistical and Nonlinear Physics and Computational Theory and Mathematics. According to data from OpenAlex, Jörg Menche has authored 53 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 8 papers in Statistical and Nonlinear Physics and 8 papers in Computational Theory and Mathematics. Recurrent topics in Jörg Menche's work include Bioinformatics and Genomic Networks (20 papers), Computational Drug Discovery Methods (8 papers) and Single-cell and spatial transcriptomics (6 papers). Jörg Menche is often cited by papers focused on Bioinformatics and Genomic Networks (20 papers), Computational Drug Discovery Methods (8 papers) and Single-cell and spatial transcriptomics (6 papers). Jörg Menche collaborates with scholars based in Austria, United States and Germany. Jörg Menche's co-authors include Albert-Ĺaszló Barabási, Amitabh Sharma, Susan Dina Ghiassian, Marc Vidal, Joseph Loscalzo, Maksim Kitsak, Emre Güney, Xuezhong Zhou, Michael Caldera and Felix Müller and has published in prestigious journals such as Science, Cell and Circulation.

In The Last Decade

Jörg Menche

52 papers receiving 3.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Uncovering disease-disease relationships through the incomplete interactome

2015 1000 citations Jörg Menche, Amitabh Sharma et al. profile →
Human symptoms–disease network

2014 452 citations Jörg Menche, Albert-Ĺaszló Barabási et al. Nature Communications profile →
Network-based in silico drug efficacy screening

2016 385 citations Emre Güney, Jörg Menche et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jörg Menche Austria	24	2.3k	759	343	202	186	53	3.2k
Amitabh Sharma United States	22	1.9k 0.9×	546 0.7×	300 0.9×	218 1.1×	178 1.0×	38	3.0k
Zhenming Liu China	32	2.1k 0.9×	884 1.2×	223 0.7×	181 0.9×	106 0.6×	198	4.3k
Natali Gulbahce United States	15	2.8k 1.3×	778 1.0×	497 1.4×	138 0.7×	221 1.2×	26	4.2k
Rose Oughtred United States	18	4.8k 2.1×	884 1.2×	500 1.5×	236 1.2×	153 0.8×	24	5.6k
Bobby‐Joe Breitkreutz Canada	14	5.3k 2.4×	803 1.1×	493 1.4×	248 1.2×	163 0.9×	16	6.2k
Andrew Chatr‐aryamontri United States	18	4.7k 2.1×	861 1.1×	463 1.3×	282 1.4×	149 0.8×	29	5.5k
Tamás Korcsmáros United Kingdom	32	2.8k 1.3×	658 0.9×	379 1.1×	323 1.6×	178 1.0×	107	4.1k
Susan Dina Ghiassian United States	7	1.3k 0.6×	548 0.7×	197 0.6×	92 0.5×	91 0.5×	15	1.8k
Wenzhe Ma China	30	2.4k 1.1×	184 0.2×	322 0.9×	171 0.8×	209 1.1×	111	3.7k
Gabriel F. Berriz United States	12	2.3k 1.0×	295 0.4×	280 0.8×	118 0.6×	126 0.7×	15	2.8k

Countries citing papers authored by Jörg Menche

Since Specialization

Citations

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

Fields of papers citing papers by Jörg Menche

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jörg Menche

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Malzl, Daniel, Salvo Danilo Lombardo, Anna Hakobyan, et al.. (2025). Multimodal learning enables chat-based exploration of single-cell data. Nature Biotechnology. 1 indexed citations

Malzl, Daniel, Lisa Kleißl, A. Gabriel, et al.. (2025). The polyamine-regulating enzyme SSAT1 impairs tissue regulatory T cell function in chronic cutaneous inflammation. Immunity. 58(3). 632–647.e12. 6 indexed citations

Hakobyan, Anna, et al.. (2024). Pan-cancer analysis of the interplay between mutational signatures and cellular signaling. iScience. 27(6). 109873–109873. 1 indexed citations

Lombardo, Salvo Danilo, et al.. (2023). Proteomics and disease network associations evaluation of environmentally relevant Bisphenol A concentrations in a human 3D neural stem cell model. Frontiers in Cell and Developmental Biology. 11. 1236243–1236243. 3 indexed citations

Basilico, Bernadette, Daniel Malzl, Mateja Smogavec, et al.. (2023). Large neutral amino acid levels tune perinatal neuronal excitability and survival. Cell. 186(9). 1950–1967.e25. 37 indexed citations

Bal, Sevgi Köstel, Salvo Danilo Lombardo, Felix Müller, et al.. (2023). AutoCore: A network-based definition of the core module of human autoimmunity and autoinflammation. Science Advances. 9(35). eadg6375–eadg6375. 5 indexed citations

Hakobyan, Anna, Nikolina Papac-Miličević, Laura Göderle, et al.. (2023). Mutational landscape of intestinal crypt cells after long-term in vivo exposure to high fat diet. Scientific Reports. 13(1). 13964–13964. 1 indexed citations

Wertheim, Bradley M., Rui‐Sheng Wang, Christelle Guillermier, et al.. (2023). Proline and glucose metabolic reprogramming supports vascular endothelial and medial biomass in pulmonary arterial hypertension. JCI Insight. 8(4). 13 indexed citations

Sin, Celine, et al.. (2022). Network cartographs for interpretable visualizations. Nature Computational Science. 2(2). 84–89. 4 indexed citations

10.

Vulliard, Loan, Joana Ferreira da Silva, Joanna I. Loizou, et al.. (2021). BioProfiling.jl: profiling biological perturbations with high-content imaging in single cells and heterogeneous populations. Bioinformatics. 38(6). 1692–1699. 5 indexed citations

11.

Nagy, Vanja, et al.. (2021). Network analysis reveals rare disease signatures across multiple levels of biological organization. Nature Communications. 12(1). 6306–6306. 47 indexed citations

12.

Schick, Sandra, André F. Rendeiro, Anna Ringler, et al.. (2019). Systematic characterization of BAF mutations provides insights into intracomplex synthetic lethalities in human cancers. Nature Genetics. 51(9). 1399–1410. 91 indexed citations

13.

Sharma, Amitabh, Arda Halu, Julius L. Decano, et al.. (2018). Controllability in an islet specific regulatory network identifies the transcriptional factor NFATC4, which regulates Type 2 Diabetes associated genes. npj Systems Biology and Applications. 4(1). 25–25. 23 indexed citations

14.

Velimezi, Georgia, Francisco Muñoz‐Martínez, Wouter W. Wiegant, et al.. (2018). Map of synthetic rescue interactions for the Fanconi anemia DNA repair pathway identifies USP48. Nature Communications. 9(1). 2280–2280. 28 indexed citations

15.

Sharma, Amitabh, Maksim Kitsak, Michael H. Cho, et al.. (2018). Integration of Molecular Interactome and Targeted Interaction Analysis to Identify a COPD Disease Network Module. Scientific Reports. 8(1). 14439–14439. 31 indexed citations

16.

Langhauser, Friederike, Ana I. Casas, Emre Güney, et al.. (2018). A diseasome cluster-based drug repurposing of soluble guanylate cyclase activators from smooth muscle relaxation to direct neuroprotection. npj Systems Biology and Applications. 4(1). 8–8. 40 indexed citations

17.

Khamina, Kseniya, Alexander Lercher, Michael Caldera, et al.. (2017). Characterization of host proteins interacting with the lymphocytic choriomeningitis virus L protein. PLoS Pathogens. 13(12). e1006758–e1006758. 15 indexed citations

18.

Ghiassian, Susan Dina, Jörg Menche, Daniel I. Chasman, et al.. (2016). Endophenotype Network Models: Common Core of Complex Diseases. Scientific Reports. 6(1). 27414–27414. 70 indexed citations

19.

Gómez-Cabrero, David, Jörg Menche, Isaac Cano, et al.. (2016). From comorbidities of chronic obstructive pulmonary disease to identification of shared molecular mechanisms by data integration. BMC Bioinformatics. 17(S15). 441–441. 17 indexed citations

20.

Ghiassian, Susan Dina, Jörg Menche, & Albert-Ĺaszló Barabási. (2015). A DIseAse MOdule Detection (DIAMOnD) Algorithm Derived from a Systematic Analysis of Connectivity Patterns of Disease Proteins in the Human Interactome. PLoS Computational Biology. 11(4). e1004120–e1004120. 258 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