Nicholas Schnicker

592 citations
24 papers · 227 · h-index 9

Impact in

Papers in

    • Genomics and Chromatin Dynamics 4
    • DNA Repair Mechanisms 3
    • Signaling Pathways in Disease 2
    • CRISPR and Genetic Engineering 2
    • RNA and protein synthesis mechanisms 2
    • Microbial metabolism and enzyme function 2
    • SARS-CoV-2 and COVID-19 Research 4

Nicholas Schnicker

20 papers receiving 226 citations

Peers

Nicholas Schnicker
Comparison fields: 5 of 67
  • Process Chemistry and Technology 9
  • Infectious Diseases 39
  • Molecular Biology 121
  • Cancer Research 24
  • Pollution 17
Replace Murielle Dutertre with:
Murielle Dutertre France
Andrius Serva Germany
Sven T. Sowa Finland
Yinhui Qin China
Jeffrey C. Sivils United States
Laura M. Langan United States
Klaus Mühlegger Germany
Qingzhi Ji China
Wojciech Białek Poland
Brady R. Cunningham United States
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Nicholas Schnicker, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Nicholas Schnicker Line = papers co-authored together Nicholas Schnicker links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202240
2 201535
3 201721
4 202318
5 201616
6 202215
7 202015
8 202012
9 201710
10 20238
11 20168
12 20207
13 20246
14 20235
15 20253
16 20242
17 20252
18 20242
19 20251
20 20251

About Nicholas Schnicker

Nicholas Schnicker is a scholar working on Molecular Biology, Infectious Diseases, Cancer Research, Cardiology and Cardiovascular Medicine and Pollution, having authored 24 papers that have together received 227 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers), DNA Repair Mechanisms (3 papers), Signaling Pathways in Disease (2 papers), CRISPR and Genetic Engineering (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), RNA and protein synthesis mechanisms (2 papers) and Microbial metabolism and enzyme function (2 papers). The work is most often cited by research in Process Chemistry and Technology (9 citations), Infectious Diseases (39 citations), Molecular Biology (121 citations), Cancer Research (24 citations) and Pollution (17 citations). Nicholas Schnicker has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Mishtu Dey, Jonathan D. Todd, Lokesh Gakhar, Tyler Weaver, Bret Freudenthal, Srinivas Chakravarthy, David K. Meyerholz, Pengfei Li, Stanley Perlman and Lok-Yin Roy Wong. Their work appears in journals such as Nature Communications, Journal of Biological Chemistry, Acta Crystallographica Section D Structural Biology, Scientific Reports and Biochemistry.

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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