Erin Chambers

1.5k total citations · 1 hit paper
18 papers, 1.2k citations indexed

About

Erin Chambers is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Animal Science and Zoology. According to data from OpenAlex, Erin Chambers has authored 18 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Endocrinology, Diabetes and Metabolism and 4 papers in Animal Science and Zoology. Recurrent topics in Erin Chambers's work include Metabolomics and Mass Spectrometry Studies (5 papers), Pharmacological Effects and Assays (4 papers) and Analytical Chemistry and Chromatography (3 papers). Erin Chambers is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (5 papers), Pharmacological Effects and Assays (4 papers) and Analytical Chemistry and Chromatography (3 papers). Erin Chambers collaborates with scholars based in United States, United Kingdom and Belgium. Erin Chambers's co-authors include Diane M. Diehl, Ziling Lu, Jeffrey R. Mazzeo, Kenneth J. Fountain, Mary E. Lame, Matthew Blatnik, Cristina Legido‐Quigley, J.C. van der Molen, Kendon S. Graham and Stephen Ball and has published in prestigious journals such as Analytical Chemistry, Analytical Biochemistry and Journal of Chromatography A.

In The Last Decade

Erin Chambers

16 papers receiving 1.1k citations

Hit Papers

Systematic and comprehensive strategy for reducing matrix... 2007 2026 2013 2019 2007 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Erin Chambers United States 11 450 406 307 187 167 18 1.2k
Douglas M. Fast United States 18 266 0.6× 320 0.8× 125 0.4× 156 0.8× 113 0.7× 42 1.1k
Emmie N. M. Ho China 21 340 0.8× 446 1.1× 221 0.7× 215 1.1× 551 3.3× 70 1.4k
Monica Mazzarino Italy 21 329 0.7× 243 0.6× 190 0.6× 159 0.9× 658 3.9× 77 1.4k
Bingfang Yue United States 14 337 0.7× 352 0.9× 130 0.4× 72 0.4× 553 3.3× 19 1.2k
Xi Shao China 19 133 0.3× 536 1.3× 153 0.5× 40 0.2× 294 1.8× 36 1.6k
Isabelle Köhler Netherlands 22 582 1.3× 638 1.6× 72 0.2× 235 1.3× 75 0.4× 59 1.3k
Sven Guddat Germany 24 389 0.9× 259 0.6× 167 0.5× 105 0.6× 840 5.0× 53 1.4k
Oldřich Lapčı́k Czechia 23 111 0.2× 472 1.2× 193 0.6× 66 0.4× 399 2.4× 75 1.7k
Debin Wan United States 24 136 0.3× 623 1.5× 78 0.3× 46 0.2× 128 0.8× 56 1.4k
Xiaojian Shi United States 28 197 0.4× 1.4k 3.5× 97 0.3× 194 1.0× 38 0.2× 61 2.2k

Countries citing papers authored by Erin Chambers

Since Specialization
Citations

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

Fields of papers citing papers by Erin Chambers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erin Chambers

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

All Works

18 of 18 papers shown
1.
Sandiford, Peter, Katrina Poppe, Corina Grey, et al.. (2024). The Prevalence and Management of Atrial Fibrillation in New Zealand Māori Detected through an Abdominal Aortic Aneurysm Screening Program. Heart Lung and Circulation. 33(3). 304–309.
2.
Pannee, Josef, Johan Gobom, Leslie M. Shaw, et al.. (2015). Round robin test on quantification of amyloid‐β 1–42 in cerebrospinal fluid by mass spectrometry. Alzheimer s & Dementia. 12(1). 55–59. 41 indexed citations
3.
Rosano, T G, et al.. (2015). Insulin Glargine and Insulin Aspart Overdose With Pharmacokinetic Analysis. AACE Clinical Case Reports. 2(2). e122–e128. 5 indexed citations
4.
Chambers, Erin, Mary E. Lame, Paul Rainville, et al.. (2015). Practical Applications of Integrated Microfluidics for Peptide Quantification. Bioanalysis. 7(7). 857–867. 10 indexed citations
5.
Maes, Katrien, Guillaume Béchade, Joeri Van Liefferinge, et al.. (2015). An Ultrasensitive Nano UHPLC–Esi–MS/MS Method for The Quantification of Three Neuromedin-Like Peptides in Microdialysates. Bioanalysis. 7(5). 605–619. 11 indexed citations
7.
Lame, Mary E., et al.. (2014). SPE-LC–MS/MS method for the quantification of Bradykinin in human plasma. Clinical Biochemistry. 47(12). 1158–1158. 1 indexed citations
8.
Danaceau, Jonathan P., Hongbin Yu, Erin Chambers, & Kenneth J. Fountain. (2014). Matrix Effects in Metabolite Quantification for Mist Assessment: The Impact of Phospholipid Removal and HPLC Column Particle Size. Bioanalysis. 6(6). 761–771. 7 indexed citations
9.
Chambers, Erin, et al.. (2013). Systematic development of an UPLC–MS/MS method for the determination of tricyclic antidepressants in human urine. Journal of Pharmaceutical and Biomedical Analysis. 88. 660–665. 39 indexed citations
10.
Chambers, Erin, Mary E. Lame, Cristina Legido‐Quigley, et al.. (2013). High sensitivity LC–MS/MS method for direct quantification of human parathyroid 1–34 (teriparatide) in human plasma. Journal of Chromatography B. 938. 96–104. 24 indexed citations
11.
Chambers, Erin, Kenneth J. Fountain, Norman W. Smith, et al.. (2013). Multidimensional LC-MS/MS Enables Simultaneous Quantification of Intact Human Insulin and Five Recombinant Analogs in Human Plasma. Analytical Chemistry. 86(1). 694–702. 79 indexed citations
12.
Chambers, Erin, Cristina Legido‐Quigley, Norman W. Smith, & Kenneth J. Fountain. (2012). Development of A Fast Method for Direct Analysis of Intact Synthetic Insulins in Human Plasma: The Large Peptide Challenge. Bioanalysis. 5(1). 65–81. 56 indexed citations
13.
Danaceau, Jonathan P., Erin Chambers, & Kenneth J. Fountain. (2012). Hydrophilic Interaction Chromatography (Hilic) For Lc–MS/MS Analysis of Monoamine Neurotransmitters. Bioanalysis. 4(7). 783–794. 30 indexed citations
14.
Chambers, Erin, et al.. (2012). Challenges in Developing An Ultra-Sensitive Bioanalytical Method For Ethinylestradiol in Human Plasma. Bioanalysis. 4(7). 769–781. 8 indexed citations
15.
Lame, Mary E., Erin Chambers, & Matthew Blatnik. (2011). Quantitation of amyloid beta peptides Aβ1–38, Aβ1–40, and Aβ1–42 in human cerebrospinal fluid by ultra-performance liquid chromatography–tandem mass spectrometry. Analytical Biochemistry. 419(2). 133–139. 95 indexed citations
16.
Peaston, R, Kendon S. Graham, Erin Chambers, J.C. van der Molen, & Stephen Ball. (2010). Performance of plasma free metanephrines measured by liquid chromatography–tandem mass spectrometry in the diagnosis of pheochromocytoma. Clinica Chimica Acta. 411(7-8). 546–552. 101 indexed citations
17.
Chambers, Erin, et al.. (2010). ANALYTICAL CHALLENGES IN THE DEVELOPMENT OF A QUANTITATIVE SPE/LC/MS/MS ASSAY FOR AMYLOID BETA PEPTIDES IN CEREBROSPINAL FLUID. Medical Entomology and Zoology. 25. 240–240. 1 indexed citations
18.
Chambers, Erin, Diane M. Diehl, Ziling Lu, & Jeffrey R. Mazzeo. (2007). Systematic and comprehensive strategy for reducing matrix effects in LC/MS/MS analyses. Journal of Chromatography B. 852(1-2). 22–34. 613 indexed citations breakdown →

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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