Nicholas Schnicker

592 total citations
24 papers, 227 citations indexed

About

Nicholas Schnicker is a scholar working on Molecular Biology, Infectious Diseases and Cancer Research. According to data from OpenAlex, Nicholas Schnicker has authored 24 papers receiving a total of 227 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 6 papers in Infectious Diseases and 4 papers in Cancer Research. Recurrent topics in Nicholas Schnicker's work include SARS-CoV-2 and COVID-19 Research (4 papers), Genomics and Chromatin Dynamics (4 papers) and DNA Repair Mechanisms (3 papers). Nicholas Schnicker is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (4 papers), Genomics and Chromatin Dynamics (4 papers) and DNA Repair Mechanisms (3 papers). Nicholas Schnicker collaborates with scholars based in United States, Italy and United Kingdom. Nicholas Schnicker's co-authors include Mishtu Dey, Jonathan D. Todd, Lokesh Gakhar, Bret Freudenthal, Tyler Weaver, Lok-Yin Roy Wong, David K. Meyerholz, Srinivas Chakravarthy, Pengfei Li and Stanley Perlman and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Nicholas Schnicker

20 papers receiving 226 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 Schnicker United States 9 121 39 29 24 17 24 227
Yinhui Qin China 12 214 1.8× 31 0.8× 25 0.9× 48 2.0× 8 0.5× 25 380
Laura M. Langan United States 11 74 0.6× 39 1.0× 26 0.9× 15 0.6× 48 2.8× 27 322
Andrius Serva Germany 7 104 0.9× 18 0.5× 14 0.5× 52 2.2× 18 1.1× 10 240
Xia Xue China 9 66 0.5× 17 0.4× 18 0.6× 18 0.8× 13 0.8× 36 269
Brady R. Cunningham United States 8 138 1.1× 17 0.4× 85 2.9× 22 0.9× 6 0.4× 15 281
Luís A. Alcaraz Spain 13 186 1.5× 27 0.7× 43 1.5× 10 0.4× 18 1.1× 21 335
Lin Yu China 7 361 3.0× 16 0.4× 20 0.7× 16 0.7× 6 0.4× 12 496
Joseph I. Kliegman United States 7 152 1.3× 19 0.5× 25 0.9× 6 0.3× 15 0.9× 7 287
Marine Blanchet France 10 184 1.5× 11 0.3× 68 2.3× 5 0.2× 10 0.6× 12 347
Xuanwei Huang China 8 282 2.3× 16 0.4× 9 0.3× 77 3.2× 19 1.1× 15 364

Countries citing papers authored by Nicholas Schnicker

Since Specialization
Citations

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

Fields of papers citing papers by Nicholas Schnicker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicholas Schnicker

This figure shows the co-authorship network connecting the top 25 collaborators of Nicholas Schnicker. A scholar is included among the top collaborators of Nicholas Schnicker 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 Schnicker. Nicholas Schnicker 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.
Honda, Masayoshi, Eva Malacaria, Lokesh Gakhar, et al.. (2025). The RAD52 double-ring remodels replication forks restricting fork reversal. Nature. 641(8062). 512–519. 3 indexed citations
2.
Faris, Robert, et al.. (2025). CpoS-Inc interactions facilitate host cell modulation during Chlamydia trachomatis infection. Infection and Immunity. 93(12). e0054825–e0054825.
3.
Schnicker, Nicholas, et al.. (2025). Conformational landscape of soluble α-klotho revealed by cryogenic electron microscopy. Scientific Reports. 15(1). 543–543.
4.
Zhao, Jiajun, Yuning Zhang, Wei Zhu, et al.. (2025). Divergence in a eukaryotic transcription factor’s co-TF dependence involves multiple intrinsically disordered regions. Nature Communications. 16(1). 5340–5340. 1 indexed citations
5.
Schnicker, Nicholas, Nicholas Spellmon, Zhen Xu, et al.. (2025). LARGE1 processively polymerizes length-controlled matriglycan on prodystroglycan. Nature Communications. 16(1). 9028–9028.
6.
Weaver, Tyler, et al.. (2025). Structural basis of gap-filling DNA synthesis in the nucleosome by DNA Polymerase β. Nature Communications. 16(1). 2607–2607. 2 indexed citations
7.
Xu, Zhen, et al.. (2025). Cryo-electron microscopy reveals a single domain antibody with a unique binding epitope on fibroblast activation protein alpha. RSC Chemical Biology. 6(5). 780–787. 1 indexed citations
8.
Xu, Zhen, David K. Johnson, M.M. Kashipathy, et al.. (2024). Molecular insights into the structure and function of the Staphylococcus aureus fatty acid kinase. Journal of Biological Chemistry. 300(12). 107920–107920. 2 indexed citations
9.
Hao, Jiaqing, Rong Jin, Yanmei Yi, et al.. (2024). Development of a humanized anti-FABP4 monoclonal antibody for potential treatment of breast cancer. Breast Cancer Research. 26(1). 119–119. 6 indexed citations
10.
Li, Pengfei, Miguel Ortiz, Nicholas Schnicker, et al.. (2024). Adaptation of SARS-CoV-2 to ACE2 H353K mice reveals new spike residues that drive mouse infection. Journal of Virology. 98(1). e0151023–e0151023. 2 indexed citations
11.
Sandouk, Aline, Zhen Xu, Sankar Baruah, et al.. (2023). GRB2 dimerization mediated by SH2 domain-swapping is critical for T cell signaling and cytokine production. Scientific Reports. 13(1). 3505–3505. 5 indexed citations
12.
Dey, Debajit, Enya Qing, Yanan He, et al.. (2023). A single C-terminal residue controls SARS-CoV-2 spike trafficking and incorporation into VLPs. Nature Communications. 14(1). 8358–8358. 8 indexed citations
13.
Dey, Debajit, Suruchi Singh, Nicholas Schnicker, et al.. (2022). An extended motif in the SARS-CoV-2 spike modulates binding and release of host coatomer in retrograde trafficking. Communications Biology. 5(1). 115–115. 15 indexed citations
14.
Weaver, Tyler, et al.. (2022). Structural basis for APE1 processing DNA damage in the nucleosome. Nature Communications. 13(1). 5390–5390. 40 indexed citations
15.
Li, Jian, Xinli Ma, Surajit Banerjee, et al.. (2020). Structural basis for multifunctional roles of human Ints3 C-terminal domain. Journal of Biological Chemistry. 296. 100112–100112. 15 indexed citations
16.
Zhang, Liyang, Nicholas Schnicker, Liping Yu, et al.. (2020). The molecular basis of selective DNA binding by the BRG1 AT-hook and bromodomain. Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms. 1863(8). 194566–194566. 12 indexed citations
17.
18.
Schnicker, Nicholas & Mishtu Dey. (2016). Bacillus anthracis Prolyl 4-Hydroxylase Modifies Collagen-like Substrates in Asymmetric Patterns. Journal of Biological Chemistry. 291(25). 13360–13374. 16 indexed citations
19.
Schnicker, Nicholas & Mishtu Dey. (2016). Structural analysis of cofactor binding for a prolyl 4-hydroxylase from the pathogenic bacteriumBacillus anthracis. Acta Crystallographica Section D Structural Biology. 72(5). 675–681. 8 indexed citations
20.
Schnicker, Nicholas, et al.. (2015). Biochemical, Kinetic, and Spectroscopic Characterization of Ruegeria pomeroyi DddW—A Mononuclear Iron-Dependent DMSP Lyase. PLoS ONE. 10(5). e0127288–e0127288. 35 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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