J. Richardson

1.3k citations
38 papers · 1.0k · h-index 18

Impact in

Papers in

    • CRISPR and Genetic Engineering 11
    • Glycosylation and Glycoproteins Research 6
    • Advanced biosensing and bioanalysis techniques 5
    • Chromosomal and Genetic Variations 8

J. Richardson

38 papers receiving 996 citations

Peers

J. Richardson
Comparison fields: 5 of 83
  • Instrumentation 112
  • Biophysics 105
  • Parasitology 66
  • Epidemiology 286
  • Molecular Biology 564
Replace Scott E. Lindner with:
Scott E. Lindner United States
Li-Min Ting United States
Irnov Irnov United States
Stefan Köster Germany
Allon Weiner Israel
Yaser Hashem France
Mikael Leijon Sweden
Kuen‐Phon Wu United States
Lutz Thilo South Africa
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Citations per field
00.5×10×15×18.7×
Scott E. Lindner · 1×
Citations per year

Countries citing papers authored by J. Richardson

Since Specialization
Citations

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

Fields of papers citing papers by J. Richardson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995180
2 2009109
3 200675
4 199863
5 200462
6 201343
7 200940
8 201035
9 201131
10 201731
11 199131
12
A 160x128 Single-Photon Image Sensor with On-Pixel 55ps 10b Time-to-Digital Converter
201126
13 201224
14 201622
15 199320
16 201319
17 201518
18 200917
19 200417
20 202216

About J. Richardson

J. Richardson is a scholar working on Molecular Biology, Plant Science, Organic Chemistry, Instrumentation and Epidemiology, having authored 38 papers that have together received 1.0k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (11 papers), Chromosomal and Genetic Variations (8 papers), Glycosylation and Glycoproteins Research (6 papers), Advanced Optical Sensing Technologies (6 papers), Trypanosoma species research and implications (5 papers), Carbohydrate Chemistry and Synthesis (5 papers), Advanced biosensing and bioanalysis techniques (5 papers) and Advanced Fluorescence Microscopy Techniques (4 papers). The work is most often cited by research in Instrumentation (112 citations), Biophysics (105 citations), Parasitology (66 citations), Epidemiology (286 citations) and Molecular Biology (564 citations). J. Richardson has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Michael A. J. Ferguson, Angela Mehlert, Malcolm D. Walkinshaw, David Finnegan, Sérgio Schenkman, Nobuko Yoshida, Sean D. Colloms, Alan R. Prescott, Abdelmadjid Atrih and Paul Taylor. Their work appears in journals such as Journal of Biological Chemistry, Nucleic Acids Research, Biochemical and Biophysical Research Communications, Nature Communications and Cell Reports.

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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