Nicholas D. Schmitt

539 total citations
10 papers, 167 citations indexed

About

Nicholas D. Schmitt is a scholar working on Molecular Biology, Spectroscopy and Pollution. According to data from OpenAlex, Nicholas D. Schmitt has authored 10 papers receiving a total of 167 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Spectroscopy and 2 papers in Pollution. Recurrent topics in Nicholas D. Schmitt's work include Metabolomics and Mass Spectrometry Studies (4 papers), Mass Spectrometry Techniques and Applications (4 papers) and Advanced Proteomics Techniques and Applications (3 papers). Nicholas D. Schmitt is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (4 papers), Mass Spectrometry Techniques and Applications (4 papers) and Advanced Proteomics Techniques and Applications (3 papers). Nicholas D. Schmitt collaborates with scholars based in United States, France and Germany. Nicholas D. Schmitt's co-authors include Jeffrey N. Agar, A. J. Lynch, Nathalie Y.R. Agar, Sankha S. Basu, Begoña Giménez, Bibek Ray, John Hanna, Walid M. Abdelmoula, Nina Weisshaar and Deborah Dillon and has published in prestigious journals such as Analytical Chemistry, FEBS Letters and Molecular Biology of the Cell.

In The Last Decade

Nicholas D. Schmitt

10 papers receiving 160 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nicholas D. Schmitt United States 7 75 65 31 29 16 10 167
Charles E. Zogzas United States 7 73 1.0× 8 0.1× 171 5.5× 15 0.5× 16 1.0× 7 330
Murtada H. Farhoud Netherlands 8 294 3.9× 44 0.7× 7 0.2× 11 0.4× 2 0.1× 9 327
Canan Has Germany 6 116 1.5× 43 0.7× 5 0.2× 3 0.1× 3 0.2× 14 207
Yuyong Ke Canada 8 64 0.9× 29 0.4× 15 0.5× 7 0.2× 18 339
Chenhao Zhang China 9 77 1.0× 5 0.1× 71 2.3× 20 0.7× 22 283
Dana van Bemmel United States 6 82 1.1× 9 0.1× 80 2.6× 14 0.5× 7 211
Eitan Hoch Israel 5 78 1.0× 8 0.1× 145 4.7× 10 0.3× 6 329
Catherine Nury Switzerland 7 55 0.7× 19 0.3× 26 0.8× 4 0.3× 7 117
Sage T. Hellerstedt United States 6 86 1.1× 13 0.2× 7 0.2× 12 0.4× 9 114

Countries citing papers authored by Nicholas D. Schmitt

Since Specialization
Citations

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

Fields of papers citing papers by Nicholas D. Schmitt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nicholas D. Schmitt. 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 Nicholas D. Schmitt. The network helps show where Nicholas D. Schmitt may publish in the future.

Co-authorship network of co-authors of Nicholas D. Schmitt

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

All Works

10 of 10 papers shown
1.
Rádai, Zoltán, Alex Váradi, Péter Takács, et al.. (2024). An overlooked phenomenon: complex interactions of potential error sources on the quality of bacterial de novo genome assemblies. BMC Genomics. 25(1). 45–45. 3 indexed citations
2.
Schmitt, Nicholas D., et al.. (2021). Increasing Top-Down Mass Spectrometry Sequence Coverage by an Order of Magnitude through Optimized Internal Fragment Generation and Assignment. Analytical Chemistry. 93(16). 6355–6362. 31 indexed citations
3.
Basu, Sankha S., Nina Weisshaar, Nicholas D. Schmitt, et al.. (2019). Dysregulation of very-long-chain fatty acid metabolism causes membrane saturation and induction of the unfolded protein response. Molecular Biology of the Cell. 31(1). 7–17. 28 indexed citations
4.
Schmitt, Nicholas D., Catherine M. Rawlins, Elizabeth C. Randall, et al.. (2019). Genetically Encoded Fluorescent Proteins Enable High-Throughput Assignment of Cell Cohorts Directly from MALDI-MS Images. Analytical Chemistry. 91(6). 3810–3817. 3 indexed citations
5.
Basu, Sankha S., Elizabeth C. Randall, Michael S. Regan, et al.. (2018). In Vitro Liquid Extraction Surface Analysis Mass Spectrometry (ivLESA-MS) for Direct Metabolic Analysis of Adherent Cells in Culture. Analytical Chemistry. 90(8). 4987–4991. 19 indexed citations
6.
Schmitt, Nicholas D. & Jeffrey N. Agar. (2017). Parsing disease‐relevant protein modifications from epiphenomena: perspective on the structural basis of SOD1‐mediated ALS. Journal of Mass Spectrometry. 52(7). 480–491. 23 indexed citations
7.
Quijada, Jeniffer, Nicholas D. Schmitt, Joseph P. Salisbury, Jared R. Auclair, & Jeffrey N. Agar. (2016). Heavy Sugar and Heavy Water Create Tunable Intact Protein Mass Increases for Quantitative Mass Spectrometry in Any Feed and Organism. Analytical Chemistry. 88(22). 11139–11146. 11 indexed citations
8.
9.
Godolphin, William, et al.. (1993). Blood lead in Canadian children: a current perspective.. PubMed. 148(4). 517–9. 4 indexed citations
10.
Schmitt, Nicholas D., et al.. (1979). Surface soil as a potential source of lead exposure for young children.. PubMed. 121(11). 1474–8. 37 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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