French Sw

52 total papers · 829 total citations
44 papers, 678 citations indexed

About

French Sw is a scholar working on Pathology and Forensic Medicine, Epidemiology and Physiology. According to data from OpenAlex, French Sw has authored 44 papers receiving a total of 678 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pathology and Forensic Medicine, 6 papers in Epidemiology and 5 papers in Physiology. Recurrent topics in French Sw's work include Liver Disease Diagnosis and Treatment (6 papers), Diet and metabolism studies (5 papers) and Alcohol Consumption and Health Effects (4 papers). French Sw is often cited by papers focused on Liver Disease Diagnosis and Treatment (6 papers), Diet and metabolism studies (5 papers) and Alcohol Consumption and Health Effects (4 papers). French Sw collaborates with scholars based in Canada and United States. French Sw's co-authors include Takeshi Okanoue, Normand Marceau, Hiromu Kawahara, Masaharu Ohta, Yasuyuki Ohta, Kei Miyamoto, Monique Cadrin, Gershwin Me, Tadao Okuno and Carlos O. Esquivel and has published in prestigious journals such as PubMed and Munich Personal RePEc Archive (Ludwig Maximilian University of Munich).

In The Last Decade

French Sw

42 papers receiving 622 citations

Author Peers

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

Author Last Decade Papers Cites
French Sw 216 214 185 166 132 44 678
Benita L. McVicker 212 1.0× 148 0.7× 264 1.4× 276 1.7× 84 0.6× 50 781
Ruchi Shah 272 1.3× 86 0.4× 110 0.6× 171 1.0× 111 0.8× 31 718
B.A. French 260 1.2× 133 0.6× 277 1.5× 261 1.6× 66 0.5× 28 615
Masayoshi Yamauchi 199 0.9× 65 0.3× 318 1.7× 379 2.3× 157 1.2× 48 738
Rebecca L. McCullough 221 1.0× 65 0.3× 111 0.6× 248 1.5× 73 0.6× 33 594
Nurdan Güldiken 193 0.9× 189 0.9× 51 0.3× 209 1.3× 126 1.0× 29 565
Xiaolei Shi 359 1.7× 97 0.5× 56 0.3× 221 1.3× 136 1.0× 35 791
Kazuaki Tejima 369 1.7× 183 0.9× 49 0.3× 190 1.1× 204 1.5× 26 716
Xue‐Yin Pan 394 1.8× 66 0.3× 99 0.5× 231 1.4× 183 1.4× 23 737
Varinder Athwal 249 1.2× 155 0.7× 40 0.2× 249 1.5× 222 1.7× 35 773

Countries citing papers authored by French Sw

Since Specialization
Citations

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

Fields of papers citing papers by French Sw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of French Sw

This figure shows the co-authorship network connecting the top 25 collaborators of French Sw. A scholar is included among the top collaborators of French Sw 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 French Sw. French Sw 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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