J. Mitchell Wells

2.5k total citations
46 papers, 1.9k citations indexed

About

J. Mitchell Wells is a scholar working on Spectroscopy, Molecular Biology and Epidemiology. According to data from OpenAlex, J. Mitchell Wells has authored 46 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Spectroscopy, 8 papers in Molecular Biology and 6 papers in Epidemiology. Recurrent topics in J. Mitchell Wells's work include Mass Spectrometry Techniques and Applications (25 papers), Analytical Chemistry and Chromatography (13 papers) and Metabolomics and Mass Spectrometry Studies (5 papers). J. Mitchell Wells is often cited by papers focused on Mass Spectrometry Techniques and Applications (25 papers), Analytical Chemistry and Chromatography (13 papers) and Metabolomics and Mass Spectrometry Studies (5 papers). J. Mitchell Wells collaborates with scholars based in United States, Germany and Norway. J. Mitchell Wells's co-authors include Scott A. McLuckey, Gavin E. Reid, Paul A. Chrisman, R. Graham Cooks, Ethan R. Badman, James L. Stephenson, Garth E. Patterson, Jin Wu, W. R. Plaß and Zheng Ouyang and has published in prestigious journals such as Chemical Reviews, Journal of the American Chemical Society and Analytical Chemistry.

In The Last Decade

J. Mitchell Wells

46 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Mitchell Wells United States 26 1.4k 535 257 233 192 46 1.9k
James L. Stephenson United States 33 2.5k 1.7× 1.2k 2.2× 336 1.3× 340 1.5× 196 1.0× 61 2.8k
Stefan Berkenkamp Germany 25 1.1k 0.7× 654 1.2× 141 0.5× 300 1.3× 143 0.7× 28 1.5k
T. Keough United States 27 1.5k 1.1× 921 1.7× 269 1.0× 271 1.2× 304 1.6× 64 2.2k
J. C. Tabet France 26 1.2k 0.9× 641 1.2× 154 0.6× 301 1.3× 254 1.3× 99 2.1k
Steven Pringle United Kingdom 22 2.1k 1.5× 1.4k 2.5× 376 1.5× 318 1.4× 307 1.6× 50 3.3k
Jeong Hee Moon South Korea 28 740 0.5× 942 1.8× 194 0.8× 223 1.0× 88 0.5× 116 2.3k
Jason Wildgoose United Kingdom 15 1.9k 1.3× 1.1k 2.0× 199 0.8× 261 1.1× 240 1.3× 18 2.3k
Eden P. Go United States 33 1.1k 0.8× 1.7k 3.2× 130 0.5× 293 1.3× 195 1.0× 76 2.7k
Robert N. Dreyer United States 14 990 0.7× 547 1.0× 278 1.1× 168 0.7× 184 1.0× 24 1.6k
Mikhail V. Gorshkov Russia 30 2.2k 1.5× 1.5k 2.8× 212 0.8× 290 1.2× 169 0.9× 142 2.8k

Countries citing papers authored by J. Mitchell Wells

Since Specialization
Citations

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

Fields of papers citing papers by J. Mitchell Wells

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Mitchell Wells

This figure shows the co-authorship network connecting the top 25 collaborators of J. Mitchell Wells. A scholar is included among the top collaborators of J. Mitchell Wells 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 J. Mitchell Wells. J. Mitchell Wells 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.
Jenkins, Sarah M., et al.. (2021). Rare Breast Cancer Subtypes. Current Oncology Reports. 23(5). 54–54. 31 indexed citations
2.
Turner, Clesson, et al.. (2020). Heritability of Low ER Staining/HER2-Breast Tumors: Are We Missing an Opportunity for Germline Testing?. Genes. 11(12). 1469–1469. 4 indexed citations
3.
Ganesan, Anuradha, Faraz Shaikh, William P. Bradley, et al.. (2019). Classification of Trauma-Associated Invasive Fungal Infections to Support Wound Treatment Decisions. Emerging infectious diseases. 25(9). 24 indexed citations
4.
Lee, Jerry, Kathleen M. Darcy, Hai Hu, et al.. (2019). From Discovery to Practice and Survivorship: Building a National Real‐World Data Learning Healthcare Framework for Military and Veteran Cancer Patients. Clinical Pharmacology & Therapeutics. 106(1). 52–57. 17 indexed citations
5.
Shen, Kongchao, Gengwu Ji, Zhaofeng Liang, et al.. (2017). On-surface manipulation of atom substitution between cobalt phthalocyanine and the Cu(111) substrate. RSC Advances. 7(23). 13827–13835. 45 indexed citations
6.
Weintrob, Amy, Kevin Downing, Deepak Aggarwal, et al.. (2016). Histopathological techniques for the diagnosis of combat-related invasive fungal wound infections. BMC Clinical Pathology. 16(1). 11–11. 16 indexed citations
7.
8.
Weintrob, Amy, Allison B. Weisbrod, James R. Dunne, et al.. (2014). Combat trauma-associated invasive fungal wound infections: epidemiology and clinical classification. Epidemiology and Infection. 143(1). 214–224. 43 indexed citations
9.
Rodríguez, Carlos J., Amy Weintrob, James R. Dunne, et al.. (2014). Clinical relevance of mold culture positivity with and without recurrent wound necrosis following combat-related injuries. The Journal of Trauma: Injury, Infection, and Critical Care. 77(5). 769–773. 25 indexed citations
10.
11.
Reid, Gavin E., J. Mitchell Wells, Ethan R. Badman, & Scott A. McLuckey. (2002). Performance of a quadrupole ion trap mass spectrometer adapted for ion/ion reaction studies. International Journal of Mass Spectrometry. 222(1-3). 243–258. 41 indexed citations
12.
Stephenson, James L., Scott A. McLuckey, Gavin E. Reid, J. Mitchell Wells, & Jonathan L. Bundy. (2002). Ion/ion chemistry as a top-down approach for protein analysis. Current Opinion in Biotechnology. 13(1). 57–64. 43 indexed citations
13.
Reid, Gavin E., et al.. (2002). Charge state dependent fragmentation of gaseous protein ions in a quadrupole ion trap: bovine ferri-, ferro-, and apo-cytochrome c. International Journal of Mass Spectrometry. 219(1). 171–187. 49 indexed citations
14.
Wells, J. Mitchell, Paul A. Chrisman, & Scott A. McLuckey. (2001). Formation of Protein−Protein Complexes in Vacuo. Journal of the American Chemical Society. 123(49). 12428–12429. 26 indexed citations
15.
McLuckey, Scott A. & J. Mitchell Wells. (2001). Mass Analysis at the Advent of the 21st Century. Chemical Reviews. 101(2). 571–606. 121 indexed citations
16.
Reid, Gavin E., Jin Wu, Paul A. Chrisman, J. Mitchell Wells, & Scott A. McLuckey. (2001). Charge-State-Dependent Sequence Analysis of Protonated Ubiquitin Ions via Ion Trap Tandem Mass Spectrometry. Analytical Chemistry. 73(14). 3274–3281. 133 indexed citations
17.
Chrisman, Paul A., et al.. (2001). Loss of charged versus neutral heme from gaseous holomyoglobin ions. Rapid Communications in Mass Spectrometry. 15(23). 2334–2340. 29 indexed citations
18.
McLuckey, Scott A., J. Mitchell Wells, James L. Stephenson, & Douglas E. Goeringer. (2000). Novel quadrupole ion trap methods for characterizing the chemistry of gaseous macro-ions. International Journal of Mass Spectrometry. 200(1-3). 137–161. 15 indexed citations
19.
Badman, Ethan R., J. Mitchell Wells, Huy Anh Bui, & R. Graham Cooks. (1998). Fourier Transform Detection in a Cylindrical Quadrupole Ion Trap. Analytical Chemistry. 70(17). 3545–3547. 15 indexed citations
20.
Wells, J. Mitchell, Ethan R. Badman, & R. Graham Cooks. (1998). A Quadrupole Ion Trap with Cylindrical Geometry Operated in the Mass-Selective Instability Mode. Analytical Chemistry. 70(3). 438–444. 127 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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