R.W. Newburgh

1.4k citations
63 papers · 995 · h-index 20

Impact in

Papers in

    • Insect Resistance and Genetics 7
    • Mitochondrial Function and Pathology 4
    • DNA and Nucleic Acid Chemistry 4
    • Insect Utilization and Effects 6

R.W. Newburgh

61 papers receiving 880 citations

Peers

R.W. Newburgh
Comparison fields: 5 of 92
  • Insect Science 223
  • Clinical Biochemistry 108
  • Cellular and Molecular Neuroscience 229
  • Biochemistry 60
  • Aquatic Science 58
Replace Masaaki Uchiyama with:
Masaaki Uchiyama Japan
Samuel H. Hori Japan
B. W. Geer United States
Lars Josefsson Sweden
W. H. McShan United States
Ronald W. Brosemer United States
Jean‐Louis Connat France
Hiroto Komano Japan
Kenneth M. Blumenthal United States
Glenn C. Bewley United States
R.W. Newburgh relative to Masaaki Uchiyama Japan Masaaki Uchiyama's profile →
Citations per field
00.5×3.5×
Masaaki Uchiyama · 1×
Citations per year

Countries citing papers authored by R.W. Newburgh

Since Specialization
Citations

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

Fields of papers citing papers by R.W. Newburgh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R.W. Newburgh. 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 R.W. Newburgh. The network helps show where R.W. Newburgh may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197274
2 195652
3 196343
4 195839
5 197637
6 197535
7 195634
8 195634
9 195633
10 196131
11 196928
12 196326
13 196125
14 197224
15 196324
16 195622
17 197121
18 197020
19 197920
20 195520

About R.W. Newburgh

R.W. Newburgh is a scholar working on Molecular Biology, Insect Science, Cellular and Molecular Neuroscience, Clinical Biochemistry and Plant Science, having authored 63 papers that have together received 995 indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (12 papers), Neurobiology and Insect Physiology Research (10 papers), Insect Resistance and Genetics (7 papers), Insect Utilization and Effects (6 papers), Insect Pest Control Strategies (5 papers), Animal Genetics and Reproduction (5 papers), Mitochondrial Function and Pathology (4 papers) and DNA and Nucleic Acid Chemistry (4 papers). The work is most often cited by research in Insect Science (223 citations), Clinical Biochemistry (108 citations), Cellular and Molecular Neuroscience (229 citations), Biochemistry (60 citations) and Aquatic Science (58 citations). R.W. Newburgh has collaborated with scholars based in United States and Canada. Frequent co-authors include Vernon H. Cheldelin, Hiroki Ishikawa, L.L. Bieber, A. J. McGinnis, Duncan P. Taylor, Ronald G. Coffey, Roger N. Rosenberg, R.L. Jolley, Theodore J. Siek and Victor J. Brookes. Their work appears in journals such as Journal of Insect Physiology, Journal of Biological Chemistry, Archives of Biochemistry and Biophysics, Journal of Lipid Research and Biochemical and Biophysical Research Communications.

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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