Eric Neumann

2.1k total citations
21 papers, 695 citations indexed

About

Eric Neumann is a scholar working on Molecular Biology, Artificial Intelligence and Cellular and Molecular Neuroscience. According to data from OpenAlex, Eric Neumann has authored 21 papers receiving a total of 695 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 5 papers in Artificial Intelligence and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Eric Neumann's work include Bioinformatics and Genomic Networks (8 papers), Biomedical Text Mining and Ontologies (7 papers) and Semantic Web and Ontologies (4 papers). Eric Neumann is often cited by papers focused on Bioinformatics and Genomic Networks (8 papers), Biomedical Text Mining and Ontologies (7 papers) and Semantic Web and Ontologies (4 papers). Eric Neumann collaborates with scholars based in United States, Netherlands and Germany. Eric Neumann's co-authors include Jeffrey C. Hall, Dennis Quan, Lee Ann Smith, Linda M. Hall, Alexandre A. Peixoto, Iván Herman, Susie Stephens, Tonya Hongsermeier, Anil G. Jegga and Ranga Chandra Gudivada and has published in prestigious journals such as Journal of Neuroscience, Journal of Chromatography A and BMC Bioinformatics.

In The Last Decade

Eric Neumann

20 papers receiving 646 citations

Author Peers

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

Author Last Decade Papers Cites
Eric Neumann 465 138 132 78 76 21 695
John Boyle 667 1.4× 95 0.7× 115 0.9× 45 0.6× 44 0.6× 51 1.4k
Bruce E. Shapiro 1.3k 2.8× 43 0.3× 58 0.4× 46 0.6× 72 0.9× 26 1.7k
Luisa Montecchi‐Palazzi 1.5k 3.3× 56 0.4× 59 0.4× 58 0.7× 186 2.4× 18 1.7k
Rob Jelier 717 1.5× 188 1.4× 16 0.1× 124 1.6× 50 0.7× 35 913
Catherine M. Lloyd 841 1.8× 43 0.3× 163 1.2× 26 0.3× 69 0.9× 17 1.2k
Andrew Finney 1.1k 2.3× 50 0.4× 18 0.1× 58 0.7× 101 1.3× 18 1.3k
Dexter Pratt 659 1.4× 241 1.7× 17 0.1× 52 0.7× 147 1.9× 31 1.1k
Mario Lauria 358 0.8× 33 0.2× 35 0.3× 55 0.7× 28 0.4× 57 1.2k
Sarala Wimalaratne 609 1.3× 131 0.9× 19 0.1× 42 0.5× 71 0.9× 24 766
Gordon M. Shepherd 380 0.8× 257 1.9× 60 0.5× 24 0.3× 12 0.2× 30 670

Countries citing papers authored by Eric Neumann

Since Specialization
Citations

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

Fields of papers citing papers by Eric Neumann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eric Neumann

This figure shows the co-authorship network connecting the top 25 collaborators of Eric Neumann. A scholar is included among the top collaborators of Eric Neumann 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 Eric Neumann. Eric Neumann 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.
Lee, Angela Y., Eric Neumann, Jamil Zaki, & Jeffrey T. Hancock. (2025). Americans overestimate how many social media users post harmful content. PNAS Nexus. 4(12). pgaf310–pgaf310.
2.
Neumann, Eric, et al.. (2021). Exploration of fiber-based cation exchange adsorbents for the removal of monoclonal antibody aggregates. Journal of Chromatography A. 1654. 462451–462451. 10 indexed citations
3.
4.
Neumann, Eric, et al.. (2021). Introduction to an Adaptive Remaining Useful Life Prediction for forming tools. 1297–1302. 2 indexed citations
5.
Fichtenholtz, Alex, Nicholas D. Camarda, & Eric Neumann. (2015). PREDICTING SIGNIFICANCE OF UNKNOWN VARIANTS IN GLIAL TUMORS THROUGH SUB-CLASS ENRICHMENT. PubMed. 21. 297–308. 1 indexed citations
6.
Qu, Xiaoyan A., Ranga Chandra Gudivada, Anil G. Jegga, Eric Neumann, & Bruce J. Aronow. (2009). Inferring novel disease indications for known drugs by semantically linking drug action and disease mechanism relationships. BMC Bioinformatics. 10(S5). S4–S4. 48 indexed citations
7.
Gudivada, Ranga Chandra, Xiaoyan A. Qu, Jing Chen, et al.. (2008). Identifying disease-causal genes using Semantic Web-based representation of integrated genomic and phenomic knowledge. Journal of Biomedical Informatics. 41(5). 717–729. 25 indexed citations
8.
Herman, Iván, et al.. (2007). The Semantic Web in Action. Scientific American. 297(6). 90–97. 93 indexed citations
9.
Qu, Xiaoyan A., Ranga Chandra Gudivada, Anil G. Jegga, Eric Neumann, & Bruce J. Aronow. (2007). ailSemantic Web-based data representation and reasoning applied to disease mechanism and pharmacology. 23. 131–143. 3 indexed citations
10.
Schroeder, Michael & Eric Neumann. (2006). Semantic web for life sciences. Journal of Web Semantics. 4(3). 167–167. 5 indexed citations
11.
Neumann, Eric & Dennis Quan. (2005). BIODASH: A SEMANTIC WEB DASHBOARD FOR DRUG DEVELOPMENT. PubMed. 176–187. 50 indexed citations
12.
Neumann, Eric. (2005). A Life Science Semantic Web: Are We There Yet?. Science s STKE. 2005(283). pe22–pe22. 39 indexed citations
13.
Clish, Clary B., Elwin Verheij, Jack Vogels, et al.. (2004). Phenotype Characterisation Using Integrated Gene Transcript, Protein and Metabolite Profiling. PubMed. 3(4). 205–217. 55 indexed citations
14.
Clish, Clary B., Matej Orešič, Thomas N. Plasterer, et al.. (2004). Integrative Biological Analysis of the APOE∗3-Leiden Transgenic Mouse. OMICS A Journal of Integrative Biology. 8(1). 3–13. 94 indexed citations
15.
Clish, Clary B., Matej Orešič, Wayne R. Stochaj, et al.. (2004). Methods for the Differential Integrative Omic Analysis of Plasma from a Transgenic Disease Animal Model. OMICS A Journal of Integrative Biology. 8(4). 267–288. 30 indexed citations
16.
Neumann, Eric & Vincent Schächter. (2002). The informatics for making sense of the genome: a progress report from the BioPathways Consortium. Comparative and Functional Genomics. 3(2). 115–118. 3 indexed citations
17.
McEntire, Robin, Peter D. Karp, Neil F. Abernethy, et al.. (2000). An evaluation of ontology exchange languages for bioinformatics.. PubMed. 8. 239–50. 22 indexed citations
18.
Smith, Lee Ann, et al.. (1996). ADrosophilaCalcium Channel α1 Subunit Gene Maps to a Genetic Locus Associated with Behavioral and Visual Defects. Journal of Neuroscience. 16(24). 7868–7879. 141 indexed citations
19.
Neumann, Eric, et al.. (1992). Artificial neural network classification of Drosophila courtship song mutants. Biological Cybernetics. 66(6). 485–496. 10 indexed citations
20.

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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