Lee A. Newberg

578 citations
23 papers · 329 · h-index 10

Impact in

    • Genomics and Phylogenetic Studies
    • Genomics and Chromatin Dynamics
    • RNA and protein synthesis mechanisms
    • Gene expression and cancer classification
    • Bioinformatics and Genomic Networks
    • DNA and Biological Computing
    • Machine Learning in Bioinformatics

Papers in

    • Genomics and Phylogenetic Studies 7
    • RNA and protein synthesis mechanisms 6
    • Genomics and Chromatin Dynamics 5
    • DNA and Biological Computing 3
    • Machine Learning in Bioinformatics 2
    • Advanced biosensing and bioanalysis techniques 2
    • Algorithms and Data Compression 2

Lee A. Newberg

23 papers receiving 308 citations

Peers

Lee A. Newberg
Comparison fields: 5 of 72
  • Molecular Biology 202
  • Computational Theory and Mathematics 34
  • Artificial Intelligence 65
  • Genetics 54
  • Discrete Mathematics and Combinatorics 5
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Christian M. Reidys United States
Alexandru I. Tomescu Finland
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M Waterman United States
Mehmet Serkan Apaydın Türkiye
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Citations per field
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Citations per year

Countries citing papers authored by Lee A. Newberg

Since Specialization
Citations

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

Fields of papers citing papers by Lee A. Newberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lee A. Newberg. 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 Lee A. Newberg. The network helps show where Lee A. Newberg may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200749
2 199547
3 200933
4 199327
5 200726
6 200722
7 199318
8 200817
9 200914
10 20089
11 20178
12 20188
13 20047
14 20087
15 20106
16 19946
17 20055
18 19955
19 20155
20 20245

About Lee A. Newberg

Lee A. Newberg is a scholar working on Molecular Biology, Artificial Intelligence, Genetics, Computational Theory and Mathematics and Computer Networks and Communications, having authored 23 papers that have together received 329 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (7 papers), RNA and protein synthesis mechanisms (6 papers), Genomics and Chromatin Dynamics (5 papers), DNA and Biological Computing (3 papers), Algorithms and Data Compression (2 papers), Advanced Data Storage Technologies (2 papers), Machine Learning in Bioinformatics (2 papers) and Advanced biosensing and bioanalysis techniques (2 papers). The work is most often cited by research in Molecular Biology (202 citations), Computational Theory and Mathematics (34 citations), Artificial Intelligence (65 citations), Genetics (54 citations) and Discrete Mathematics and Combinatorics (5 citations). Lee A. Newberg has collaborated with scholars based in United States, Philippines and Spain. Frequent co-authors include Charles E. Lawrence, Lee Ann McCue, Richard M. Karp, Farid Alizadeh, William A. Thompson, Sean Conlan, David Naor, C. Steven Carmack, Thomas M. Smith and Chinnappa D. Kodira. Their work appears in journals such as Journal of Computational Biology, Algorithmica, Statistical Applications in Genetics and Molecular Biology, Nucleic Acids Research and Bioinformatics.

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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