Eric J. Jaehnig

127 total papers · 7.7k total citations
20 papers, 2.3k citations indexed

About

Eric J. Jaehnig is a scholar working on Molecular Biology, Spectroscopy and Oncology. According to data from OpenAlex, Eric J. Jaehnig has authored 20 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 5 papers in Spectroscopy and 4 papers in Oncology. Recurrent topics in Eric J. Jaehnig's work include Advanced Proteomics Techniques and Applications (5 papers), Bioinformatics and Genomic Networks (4 papers) and Machine Learning in Bioinformatics (3 papers). Eric J. Jaehnig is often cited by papers focused on Advanced Proteomics Techniques and Applications (5 papers), Bioinformatics and Genomic Networks (4 papers) and Machine Learning in Bioinformatics (3 papers). Eric J. Jaehnig collaborates with scholars based in United States, Japan and China. Eric J. Jaehnig's co-authors include Bing Zhang, Zhiao Shi, Yuxing Liao, Jing Wang, Richard D. Kolodner, Christopher D. Putnam, Brian L. Black, Hans Hombauer, Trey Ideker and Dwight Kuo and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Eric J. Jaehnig

18 papers receiving 2.3k citations

Hit Papers

WebGestalt 2019: gene set... 2019 2026 2021 2023 2019 500 1000 1.5k

Author Peers

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

Author Last Decade Papers Cites
Eric J. Jaehnig 1.4k 425 299 275 261 20 2.3k
Minji Jeon 1.4k 1.0× 375 0.9× 195 0.7× 259 0.9× 234 0.9× 26 2.5k
Stefan Kirov 1.6k 1.1× 415 1.0× 371 1.2× 244 0.9× 175 0.7× 26 2.3k
Megan L. Wojciechowicz 1.5k 1.1× 422 1.0× 204 0.7× 296 1.1× 229 0.9× 13 2.5k
Yuxing Liao 2.1k 1.5× 420 1.0× 383 1.3× 309 1.1× 257 1.0× 25 3.1k
John Erol Evangelista 1.2k 0.9× 333 0.8× 157 0.5× 243 0.9× 194 0.7× 22 2.1k
Eryk Kropiwnicki 1.4k 1.0× 388 0.9× 189 0.6× 276 1.0× 219 0.8× 10 2.3k
Jay Snoddy 1.8k 1.3× 460 1.1× 410 1.4× 299 1.1× 140 0.5× 21 2.7k
Bilian Jin 1.7k 1.2× 571 1.3× 275 0.9× 309 1.1× 191 0.7× 33 2.4k
Zhuorui Xie 1.2k 0.8× 333 0.8× 157 0.5× 226 0.8× 182 0.7× 18 2.0k
Valerie Christiaens 2.1k 1.5× 444 1.0× 366 1.2× 379 1.4× 226 0.9× 38 3.0k

Countries citing papers authored by Eric J. Jaehnig

Since Specialization
Citations

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

Fields of papers citing papers by Eric J. Jaehnig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eric J. Jaehnig

This figure shows the co-authorship network connecting the top 25 collaborators of Eric J. Jaehnig. A scholar is included among the top collaborators of Eric J. Jaehnig 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 J. Jaehnig. Eric J. Jaehnig 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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