Daniel Chelsky

2.9k citations
40 papers · 2.5k · 1 hit paper · h-index 23

Impact in

    • Nuclear Structure and Function
    • Chemical Synthesis and Analysis
    • Protein Kinase Regulation and GTPase Signaling
    • Tuberculosis Research and Epidemiology

Papers in

    • Advanced Proteomics Techniques and Applications 8
    • Chemical Synthesis and Analysis 6
    • Nuclear Structure and Function 4
    • Protein Kinase Regulation and GTPase Signaling 3
    • Advanced Biosensing Techniques and Applications 3

Daniel Chelsky

39 papers receiving 2.3k citations

Daniel Chelsky's Hit Papers

The Mycobacterium tuberculosis regulatory network and hypoxia 2013 · 357 citations
3570+4+8Years since publication100200300

Peers

Daniel Chelsky
Comparison fields: 5 of 102
  • Molecular Biology 1k
  • Infectious Diseases 273
  • Genetics 303
  • Physiology 240
  • Spectroscopy 119
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Daniel Chelsky relative to Michael D. Power United States Michael D. Power's profile →
Citations per field
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Citations per year

Countries citing papers authored by Daniel Chelsky

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Chelsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel Chelsky, 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 Daniel Chelsky Line = papers co-authored together Daniel Chelsky links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989379
2
The Mycobacterium tuberculosis regulatory network and hypoxia
Hit paper breakdown →
2013357
3 2000175
4 2013169
5 2015127
6 1987113
7 2018103
8 199584
9 202180
10 202176
11 198072
12 198470
13 198968
14 200765
15 197863
16 199859
17 198545
18 200540
19 198033
20 200529

About Daniel Chelsky

Daniel Chelsky is a scholar working on Spectroscopy, Molecular Biology, Genetics, Physiology and Computational Theory and Mathematics, having authored 40 papers that have together received 2.5k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (8 papers), Chemical Synthesis and Analysis (6 papers), Bacterial Genetics and Biotechnology (5 papers), Nuclear Structure and Function (4 papers), Dementia and Cognitive Impairment Research (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Computational Drug Discovery Methods (3 papers) and Advanced Biosensing Techniques and Applications (3 papers). The work is most often cited by research in Molecular Biology (1k citations), Infectious Diseases (273 citations), Genetics (303 citations), Physiology (240 citations) and Spectroscopy (119 citations). Daniel Chelsky has collaborated with scholars based in United States, Costa Rica and Netherlands. Frequent co-authors include Raymond K. Ralph, Gerald J. Jonak, Daniel E. Koshland, Frederick W. Dahlquist, John F. Reidhaar-Olson, Stanley M. Parsons, Neal I. Gutterson, John J. Baldwin, NOLAN H. SIGAL and Belle Ruskin. Their work appears in journals such as Journal of Biological Chemistry, Alzheimer s & Dementia, Proceedings of the National Academy of Sciences, Biochemistry and Science Translational Medicine.

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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