Samuel L.M. Arnold

170 total papers · 1.5k total citations
38 papers, 920 citations indexed

About

Samuel L.M. Arnold is a scholar working on Parasitology, Molecular Biology and Epidemiology. According to data from OpenAlex, Samuel L.M. Arnold has authored 38 papers receiving a total of 920 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Parasitology, 14 papers in Molecular Biology and 10 papers in Epidemiology. Recurrent topics in Samuel L.M. Arnold's work include Parasitic Infections and Diagnostics (14 papers), Retinoids in leukemia and cellular processes (9 papers) and Toxoplasma gondii Research Studies (8 papers). Samuel L.M. Arnold is often cited by papers focused on Parasitic Infections and Diagnostics (14 papers), Retinoids in leukemia and cellular processes (9 papers) and Toxoplasma gondii Research Studies (8 papers). Samuel L.M. Arnold collaborates with scholars based in United States, Switzerland and Spain. Samuel L.M. Arnold's co-authors include Nina Isoherranen, John K. Amory, Thomas J. Walsh, Cathryn A. Hogarth, Travis Kent, Debra Mitchell, Wesley C. Van Voorhis, Kayode K. Ojo, Matthew A. Hulverson and Charles Müller and has published in prestigious journals such as Journal of Biological Chemistry, Analytical Chemistry and Scientific Reports.

In The Last Decade

Samuel L.M. Arnold

38 papers receiving 911 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Samuel L.M. Arnold 359 280 193 177 172 38 920
Maciej Skrzypczak 232 0.6× 123 0.4× 149 0.8× 211 1.2× 69 0.4× 77 891
Mohammed Hassar 244 0.7× 112 0.4× 44 0.2× 115 0.6× 126 0.7× 37 865
Elizabeth A. L. Martins 318 0.9× 374 1.3× 18 0.1× 151 0.9× 52 0.3× 51 1.2k
Gary R. Hayes 418 1.2× 141 0.5× 24 0.1× 33 0.2× 78 0.5× 32 1.2k
Leonor Puchades‐Carrasco 531 1.5× 33 0.1× 85 0.4× 44 0.2× 101 0.6× 44 962
Pryscilla Fanini Wowk 228 0.6× 110 0.4× 25 0.1× 19 0.1× 233 1.4× 58 821
Yuki Yoshida 210 0.6× 156 0.6× 13 0.1× 54 0.3× 87 0.5× 44 808
Jian Xu 192 0.5× 19 0.1× 53 0.3× 41 0.2× 38 0.2× 38 924
Iwona Bukowska‐Ośko 208 0.6× 53 0.2× 10 0.1× 78 0.4× 89 0.5× 38 905
E. Katz 251 0.7× 10 0.0× 256 1.3× 193 1.1× 190 1.1× 50 1.2k

Countries citing papers authored by Samuel L.M. Arnold

Since Specialization
Citations

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

Fields of papers citing papers by Samuel L.M. Arnold

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samuel L.M. Arnold

This figure shows the co-authorship network connecting the top 25 collaborators of Samuel L.M. Arnold. A scholar is included among the top collaborators of Samuel L.M. Arnold 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 Samuel L.M. Arnold. Samuel L.M. Arnold is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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