Christopher Larkin

2.4k citations
18 papers · 599 · h-index 11

Impact in

Papers in

Christopher Larkin

16 papers receiving 594 citations

Peers

Christopher Larkin
Comparison fields: 5 of 90
  • Cellular and Molecular Neuroscience 140
  • Molecular Biology 404
  • Cell Biology 84
  • Radiology, Nuclear Medicine and Imaging 118
  • Spectroscopy 80
Replace Hiroyuki Matsumoto with:
Hiroyuki Matsumoto United States
Marcia Roy United Kingdom
Moran Shalev-Benami Israel
Jendrik Schöppe Switzerland
Catherine K. Xu United Kingdom
Jared R. Auclair United States
Valery M. Lipkin Russia
Kamela O. Alegre United Kingdom
Sébastien Ferrandon United States
Rob van der Kant Belgium
Christopher Larkin relative to Hiroyuki Matsumoto United States Hiroyuki Matsumoto's profile →
Citations per field
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Hiroyuki Matsumoto · 1×
Citations per year

Countries citing papers authored by Christopher Larkin

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Larkin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2003192
2 2014111
3 201751
4 201134
5 201732
6 200630
7 201629
8 201527
9 200726
10 201621
11 201619
12 20199
13 20187
14 20167
15 20183
16 19931
17
From the steeples and the mountains
19990
18 20250

About Christopher Larkin

Christopher Larkin is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Pediatrics, Perinatology and Child Health and Epidemiology, having authored 18 papers that have together received 599 indexed citations. Recurring topics across this work include Protein purification and stability (8 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Viral Infectious Diseases and Gene Expression in Insects (5 papers), Advanced Proteomics Techniques and Applications (2 papers), Biosimilars and Bioanalytical Methods (2 papers), Enzyme Structure and Function (2 papers), Glycosylation and Glycoproteins Research (2 papers) and Protein Structure and Dynamics (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (140 citations), Molecular Biology (404 citations), Cell Biology (84 citations), Radiology, Nuclear Medicine and Imaging (118 citations) and Spectroscopy (80 citations). Christopher Larkin has collaborated with scholars based in United States, Poland and Japan. Frequent co-authors include Thomas C. Südhof, Pascal S. Kaeser, David J. Linden, Susanne Schoch, György Lónárt, Nabila Aboulaich, Wai Keen Chung, David J. Robbins, Min Zhu and James B. McGivney. Their work appears in journals such as Electrophoresis, Analytical Chemistry, Journal of Biological Chemistry, Biotechnology Progress and Biotechnology and Bioengineering.

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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