Elyse C. Freiberger

590 total citations
8 papers, 343 citations indexed

About

Elyse C. Freiberger is a scholar working on Molecular Biology, Epidemiology and Immunology. According to data from OpenAlex, Elyse C. Freiberger has authored 8 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Epidemiology and 2 papers in Immunology. Recurrent topics in Elyse C. Freiberger's work include interferon and immune responses (2 papers), Influenza Virus Research Studies (2 papers) and Autophagy in Disease and Therapy (2 papers). Elyse C. Freiberger is often cited by papers focused on interferon and immune responses (2 papers), Influenza Virus Research Studies (2 papers) and Autophagy in Disease and Therapy (2 papers). Elyse C. Freiberger collaborates with scholars based in United States, Switzerland and India. Elyse C. Freiberger's co-authors include Joshua J. Coon, Nicholas W. Kwiecien, Alexander S. Hebert, David J. Pagliarini, Andrew Mehle, Anthony R. Dawson, Arindam Mondal, Arne Ulbrich, Jonathan A. Stefely and Mike T. Veling and has published in prestigious journals such as Journal of Biological Chemistry, Nature Biotechnology and Molecular Cell.

In The Last Decade

Elyse C. Freiberger

8 papers receiving 340 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Elyse C. Freiberger United States	7	251	86	58	38	38	8	343
Gek Huey Chua Singapore	9	260 1.0×	63 0.7×	26 0.4×	31 0.8×	15 0.4×	12	374
Mariana Lopes United States	8	322 1.3×	101 1.2×	17 0.3×	22 0.6×	51 1.3×	13	499
Cedric H. De Smet Netherlands	7	224 0.9×	40 0.5×	94 1.6×	12 0.3×	14 0.4×	8	334
Yolanda Auchli Switzerland	11	376 1.5×	89 1.0×	53 0.9×	108 2.8×	20 0.5×	11	532
Nidhi Jatana India	10	151 0.6×	53 0.6×	42 0.7×	29 0.8×	13 0.3×	17	262
Ruobing Ren China	11	215 0.9×	21 0.2×	25 0.4×	38 1.0×	37 1.0×	27	365
Vanessa Palermo Italy	13	491 2.0×	42 0.5×	66 1.1×	14 0.4×	23 0.6×	22	578
Gudrun Müller Germany	11	293 1.2×	39 0.5×	54 0.9×	11 0.3×	25 0.7×	11	439
Benjamin Tweel United States	8	168 0.7×	31 0.4×	39 0.7×	53 1.4×	16 0.4×	14	385
Hiroshi Mizuguchi Japan	9	254 1.0×	138 1.6×	129 2.2×	21 0.6×	18 0.5×	16	524

Countries citing papers authored by Elyse C. Freiberger

Since Specialization

Citations

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

Fields of papers citing papers by Elyse C. Freiberger

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Elyse C. Freiberger. 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 Elyse C. Freiberger. The network helps show where Elyse C. Freiberger may publish in the future.

Co-authorship network of co-authors of Elyse C. Freiberger

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

All Works

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8 of 8 papers shown

Freiberger, Elyse C., Michael P. Thompson, Xiaomei Zhang, et al.. (2024). Utility of Common In Vitro Systems for Predicting Circulating Metabolites. Drug Metabolism and Disposition. 52(12). 1373–1378. 3 indexed citations

Dawson, Anthony R., Gary M. Wilson, Elyse C. Freiberger, et al.. (2020). Phosphorylation controls RNA binding and transcription by the influenza virus polymerase. PLoS Pathogens. 16(9). e1008841–e1008841. 21 indexed citations

Stefely, Jonathan A., Yu Zhang, Elyse C. Freiberger, et al.. (2020). Mass spectrometry proteomics reveals a function for mammalian CALCOCO1 in MTOR-regulated selective autophagy. Autophagy. 16(12). 2219–2237. 41 indexed citations

Mitok, Kelly A., Elyse C. Freiberger, Kathryn L. Schueler, et al.. (2018). Islet proteomics reveals genetic variation in dopamine production resulting in altered insulin secretion. Journal of Biological Chemistry. 293(16). 5860–5877. 40 indexed citations

Veling, Mike T., Andrew G. Reidenbach, Elyse C. Freiberger, et al.. (2017). Multi-omic Mitoprotease Profiling Defines a Role for Oct1p in Coenzyme Q Production. Molecular Cell. 68(5). 970–977.e11. 39 indexed citations

Mondal, Arindam, Anthony R. Dawson, Gregory K. Potts, et al.. (2017). Influenza virus recruits host protein kinase C to control assembly and activity of its replication machinery. eLife. 6. 56 indexed citations

Xue, Liang, Emily E. Blythe, Elyse C. Freiberger, et al.. (2016). Valosin-containing protein (VCP)–Adaptor Interactions are Exceptionally Dynamic and Subject to Differential Modulation by a VCP Inhibitor. Molecular & Cellular Proteomics. 15(9). 2970–2986. 40 indexed citations

Stefely, Jonathan A., Nicholas W. Kwiecien, Elyse C. Freiberger, et al.. (2016). Mitochondrial protein functions elucidated by multi-omic mass spectrometry profiling. Nature Biotechnology. 34(11). 1191–1197. 103 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.

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