Kim Arnold

878 citations
13 papers · 711 · h-index 7

Impact in

    • Escherichia coli research studies
    • Listeria monocytogenes in Food Safety
    • Microbial Inactivation Methods

Papers in

Kim Arnold

12 papers receiving 668 citations

Peers

Kim Arnold
Comparison fields: 5 of 81
  • Endocrinology 417
  • Biotechnology 273
  • Food Science 342
  • Infectious Diseases 224
  • Toxicology 23
Replace Chorng-Ming Cheng with:
Chorng-Ming Cheng United States
V. Mithani United Kingdom
L L Wang China
M. Goodson United Kingdom
Mark J. Kazmierczak United States
Catherine M. McAuley Australia
Emmanuel Jamet France
SHIGEKO UEDA Japan
Khorshed Alam Bangladesh
F.M. van Leusden Netherlands
Kim Arnold relative to Chorng-Ming Cheng United States Chorng-Ming Cheng's profile →
Citations per field
00.5×1.5×
Chorng-Ming Cheng · 1×
Citations per year

Countries citing papers authored by Kim Arnold

Since Specialization
Citations

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

Fields of papers citing papers by Kim Arnold

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 1996222
2 1995220
3 1996199
4 201725
5 201813
6 202210
7 20108
8 20235
9
Questions of Data Ownership on Campus
20144
10 20233
11
Modeling huddling penguins
20121
12 20221
13 20240

About Kim Arnold

Kim Arnold is a scholar working on Molecular Biology, Spectroscopy, Biomedical Engineering, Endocrinology and Toxicology, having authored 13 papers that have together received 711 indexed citations. Recurring topics across this work include Advanced Chemical Sensor Technologies (4 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Mass Spectrometry Techniques and Applications (3 papers), Forensic Toxicology and Drug Analysis (2 papers), Salmonella and Campylobacter epidemiology (2 papers), Escherichia coli research studies (2 papers), Chemical and Physical Properties in Aqueous Solutions (2 papers) and Mollusks and Parasites Studies (1 paper). The work is most often cited by research in Endocrinology (417 citations), Biotechnology (273 citations), Food Science (342 citations), Infectious Diseases (224 citations) and Toxicology (23 citations). Kim Arnold has collaborated with scholars based in Switzerland, United States and Spain. Frequent co-authors include Charles W. Kaspar, Chorng-Ming Cheng, Carmen Buchrieser, John B. Luchansky, J. A. Shere, Roland Brosch, N. G. Faith, Andrea E. Steuer, Thomas Kræmer and Michael Poetzsch. Their work appears in journals such as Applied and Environmental Microbiology, Analytical and Bioanalytical Chemistry, iScience, Drug Testing and Analysis and Analytical Chemistry.

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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