Richard N. Day

7.6k citations
98 papers · 5.7k indexed · 2 hit papers · h-index 39
Topics
Advanced Fluorescence Microscopy Techniques (44 papers)Growth Hormone and Insulin-like Growth Factors (17 papers)Retinoids in leukemia and cellular processes (14 papers)

In The Last Decade

Richard N. Day

98 papers receiving 5.6k citations

Hit Papers

A bright monomeric green fluorescent protein derived from...200920262014202020132009250500750

Peers

Richard N. Day
Comparison fields: 5 of 164
  • Molecular Biology 3.6k
  • Biophysics 1.7k
  • Genetics 927
  • Cell Biology 754
  • Endocrinology, Diabetes and Metabolism 693
Replace Keith V. Wood with:
Keith V. Wood United States
M. Cristina Cardoso Germany
Roel van Driel Netherlands
Juan Llopis Spain
Theodorus W. J. Gadella Netherlands
Tom K. Kerppola United States
David A. Zacharias United States
Gordon L. Hager United States
Michael Schleicher Germany
Ivan R. Corrêa United States
Richard N. Day relative to Keith V. Wood United States Keith V. Wood's profile →
Citations per field
00.5×1.7×
Keith V. Wood · 1×
Citations per year

Countries citing papers authored by Richard N. Day

Since Specialization
Citations

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

Fields of papers citing papers by Richard N. Day

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Richard N. Day. 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 Richard N. Day. The network helps show where Richard N. Day may publish in the future.

Co-authorship network of co-authors of Richard N. Day

This figure shows the co-authorship network connecting the top 25 collaborators of Richard N. Day. A scholar is included among the top collaborators of Richard N. Day 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 Richard N. Day. Richard N. Day 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
#WorkIndexed citations
1 9
2 36
3 12
4 31
5 52
6 84
7 213
8 51
9 22
10 9
11 5
12 46
13 170
14 24
15 97
16 16
17 38
18 90
19 45
20 3

About Richard N. Day

Richard N. Day is a scholar working on Biophysics, Structural Biology and Endocrinology, Diabetes and Metabolism, having authored 98 papers that have together received 5.7k indexed citations. Recurring topics across this work include Advanced Fluorescence Microscopy Techniques (44 papers), Growth Hormone and Insulin-like Growth Factors (17 papers) and Retinoids in leukemia and cellular processes (14 papers). The work is most often cited by research in Biophysics (1.7k citations), Structural Biology (158 citations) and Molecular Biology (3.6k citations). Richard N. Day has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Michael W. Davidson, Ammasi Periasamy, Ammasi Periasamy, Fred Schaufele, Richard A. Maurer, Paula J. Cranfill, Masilamani Elangovan, Yuansheng Sun, Michelle A. Baird and R A Maurer. Their work appears in journals such as Chemical Society Reviews, Journal of Biological Chemistry and Nature Biotechnology.

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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