Leah V. Schaffer

934 total citations
21 papers, 487 citations indexed

About

Leah V. Schaffer is a scholar working on Molecular Biology, Spectroscopy and Biophysics. According to data from OpenAlex, Leah V. Schaffer has authored 21 papers receiving a total of 487 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 14 papers in Spectroscopy and 3 papers in Biophysics. Recurrent topics in Leah V. Schaffer's work include Advanced Proteomics Techniques and Applications (14 papers), Mass Spectrometry Techniques and Applications (12 papers) and Bioinformatics and Genomic Networks (5 papers). Leah V. Schaffer is often cited by papers focused on Advanced Proteomics Techniques and Applications (14 papers), Mass Spectrometry Techniques and Applications (12 papers) and Bioinformatics and Genomic Networks (5 papers). Leah V. Schaffer collaborates with scholars based in United States, Sweden and Israel. Leah V. Schaffer's co-authors include Michael R. Shortreed, Lloyd M. Smith, Mark Scalf, Brian L. Frey, Robert J. Millikin, Trey Ideker, Anthony J. Cesnik, Rachel Miller, Lissa C. Anderson and Trisha Tucholski and has published in prestigious journals such as Bioinformatics, Analytical Chemistry and Journal of Proteome Research.

In The Last Decade

Leah V. Schaffer

19 papers receiving 483 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Leah V. Schaffer United States 12 339 317 50 27 18 21 487
Anthony J. Cesnik United States 14 435 1.3× 242 0.8× 24 0.5× 23 0.9× 24 1.3× 20 531
Denis Shutin United Kingdom 7 236 0.7× 168 0.5× 13 0.3× 13 0.5× 14 0.8× 8 334
Varun V. Gadkari United States 11 208 0.6× 149 0.5× 18 0.4× 11 0.4× 11 0.6× 20 308
Kevin Demeure Belgium 8 286 0.8× 368 1.2× 30 0.6× 8 0.3× 8 0.4× 9 493
Jagannath Swaminathan United States 9 212 0.6× 109 0.3× 92 1.8× 10 0.4× 13 0.7× 15 308
Simon Perkins United Kingdom 11 333 1.0× 254 0.8× 14 0.3× 30 1.1× 23 1.3× 15 439
Alexander A. Boulgakov United States 6 208 0.6× 81 0.3× 91 1.8× 29 1.1× 8 0.4× 7 304
Sophia Steigerwald Denmark 4 257 0.8× 219 0.7× 22 0.4× 39 1.4× 23 1.3× 10 360
Victoria C. Cotham United States 10 187 0.6× 210 0.7× 28 0.6× 17 0.6× 7 0.4× 17 331
Deanna Dryhurst Canada 10 583 1.7× 270 0.9× 19 0.4× 8 0.3× 22 1.2× 11 757

Countries citing papers authored by Leah V. Schaffer

Since Specialization
Citations

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

Fields of papers citing papers by Leah V. Schaffer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leah V. Schaffer. 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 Leah V. Schaffer. The network helps show where Leah V. Schaffer may publish in the future.

Co-authorship network of co-authors of Leah V. Schaffer

This figure shows the co-authorship network connecting the top 25 collaborators of Leah V. Schaffer. A scholar is included among the top collaborators of Leah V. Schaffer 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 Leah V. Schaffer. Leah V. Schaffer 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.
Wright, Sarah N., Leah V. Schaffer, Rudolf Pillich, et al.. (2024). State of the interactomes: an evaluation of molecular networks for generating biological insights. Molecular Systems Biology. 21(1). 1–29. 7 indexed citations
2.
Cesnik, Anthony J., et al.. (2024). Mapping the Multiscale Proteomic Organization of Cellular and Disease Phenotypes. PubMed. 7(1). 369–389. 5 indexed citations
3.
Schaffer, Leah V., et al.. (2024). Multi-modal contrastive learning of subcellular organization using DICE. Bioinformatics. 40(Supplement_2). ii105–ii110.
4.
Gross, Erin M., et al.. (2022). Electrogenerated Chemiluminescent Detection of Polyamines on a Microfluidic Device Using Micromolded Carbon Paste Microelectrodes. Electroanalysis. 34(12). 1928–1935. 5 indexed citations
5.
Schaffer, Leah V. & Trey Ideker. (2021). Mapping the multiscale structure of biological systems. Cell Systems. 12(6). 622–635. 26 indexed citations
6.
Schaffer, Leah V., et al.. (2021). Exploring Factors Affecting Interest in Chemistry Faculty Careers Among Graduate Student Women: Results from a Local Pilot Study. Journal of Chemical Education. 99(1). 92–103. 9 indexed citations
7.
Weisbrod, Chad R., Lissa C. Anderson, Christopher L. Hendrickson, et al.. (2021). Advanced Strategies for Proton-Transfer Reactions Coupled with Parallel Ion Parking on a 21 T FT-ICR MS for Intact Protein Analysis. Analytical Chemistry. 93(26). 9119–9128. 17 indexed citations
8.
Shortreed, Michael R., Robert J. Millikin, Rachel Miller, et al.. (2021). Binary Classifier for Computing Posterior Error Probabilities in MetaMorpheus. Journal of Proteome Research. 20(4). 1997–2004. 2 indexed citations
9.
Schaffer, Leah V., Robert J. Millikin, Michael R. Shortreed, Mark Scalf, & Lloyd M. Smith. (2020). Improving Proteoform Identifications in Complex Systems Through Integration of Bottom-Up and Top-Down Data. Journal of Proteome Research. 19(8). 3510–3517. 24 indexed citations
10.
Gross, Erin M., et al.. (2020). Micromolded Carbon Paste Microelectrodes for Electrogenerated Chemiluminescent Detection on Microfluidic Devices. ChemElectroChem. 7(15). 3244–3252. 5 indexed citations
11.
Schaffer, Leah V., Rachel Miller, Robert J. Millikin, et al.. (2019). Constructing Human Proteoform Families Using Intact-Mass and Top-Down Proteomics with a Multi-Protease Global Post-Translational Modification Discovery Database. Journal of Proteome Research. 18(10). 3671–3680. 21 indexed citations
12.
Schaffer, Leah V., Robert J. Millikin, Rachel Miller, et al.. (2019). Identification and Quantification of Proteoforms by Mass Spectrometry. PMC.
13.
Schaffer, Leah V., Trisha Tucholski, Michael R. Shortreed, Ying Ge, & Lloyd M. Smith. (2019). Intact-Mass Analysis Facilitating the Identification of Large Human Heart Proteoforms. Analytical Chemistry. 91(17). 10937–10942. 14 indexed citations
14.
Schaffer, Leah V., Robert J. Millikin, Rachel Miller, et al.. (2019). Identification and Quantification of Proteoforms by Mass Spectrometry. PROTEOMICS. 19(10). e1800361–e1800361. 160 indexed citations
15.
Schaffer, Leah V., Mark Scalf, Michael R. Shortreed, et al.. (2018). Compartmentalization of HP1 Proteins in Pluripotency Acquisition and Maintenance. Stem Cell Reports. 10(2). 627–641. 18 indexed citations
16.
Schaffer, Leah V., Jarred W. Rensvold, Michael R. Shortreed, et al.. (2018). Identification and Quantification of Murine Mitochondrial Proteoforms Using an Integrated Top-Down and Intact-Mass Strategy. Journal of Proteome Research. 17(10). 3526–3536. 20 indexed citations
17.
Shortreed, Michael R., Mark Scalf, Brian L. Frey, et al.. (2017). Elucidating Escherichia coli Proteoform Families Using Intact-Mass Proteomics and a Global PTM Discovery Database. Journal of Proteome Research. 16(11). 4156–4165. 27 indexed citations
18.
Cesnik, Anthony J., Michael R. Shortreed, Leah V. Schaffer, et al.. (2017). Proteoform Suite: Software for Constructing, Quantifying, and Visualizing Proteoform Families. Journal of Proteome Research. 17(1). 568–578. 34 indexed citations
19.
Schaffer, Leah V., Michael R. Shortreed, Anthony J. Cesnik, et al.. (2017). Expanding Proteoform Identifications in Top-Down Proteomic Analyses by Constructing Proteoform Families. Analytical Chemistry. 90(2). 1325–1333. 21 indexed citations
20.
Li, Qiyao, Michael R. Shortreed, Craig D. Wenger, et al.. (2016). Global Post-Translational Modification Discovery. Journal of Proteome Research. 16(4). 1383–1390. 63 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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