Anik Forest

953 citations
21 papers · 586 indexed · h-index 11

Anik Forest

19 papers receiving 559 citations

Peers

Anik Forest
Comparison fields: 5 of 75
  • Clinical Biochemistry 98
  • Behavioral Neuroscience 21
  • Molecular Biology 390
  • Genetics 134
  • Endocrinology, Diabetes and Metabolism 70
Replace Timothy K. Gallaher with:
Timothy K. Gallaher United States
Stefan Bäckström Sweden
Kim A. Lagerborg United States
William A. Coty United States
Vanda Pinto Portugal
Fumihide Isohashi Japan
Jennivine Tsao Canada
Y Hod United States
Henry J. Tsai Taiwan
Cristina Mascaró Spain
Anik Forest relative to Timothy K. Gallaher United States Timothy K. Gallaher's profile →
Citations per field
00.5×4.1×
Timothy K. Gallaher · 1×
Citations per year

Countries citing papers authored by Anik Forest

Since Specialization
Citations

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

Fields of papers citing papers by Anik Forest

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20250
4 202410
5 20231
6 20231
7 20235
8 202315
9 202234
10 20213
11 201925
12 201739
13 20172
14 20171
15 2016153
16 201032
17 19848
18 198327
19 198173
20 1979124

About Anik Forest

Anik Forest is a scholar working on Clinical Biochemistry, Biological Psychiatry, Behavioral Neuroscience, Biochemistry and Endocrinology, Diabetes and Metabolism, having authored 21 papers that have together received 586 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (6 papers), Metabolism and Genetic Disorders (5 papers), Metabolomics and Mass Spectrometry Studies (3 papers), ATP Synthase and ATPases Research (2 papers), Lipid metabolism and biosynthesis (2 papers), Iron Metabolism and Disorders (2 papers), Inflammatory Bowel Disease (2 papers) and Sphingolipid Metabolism and Signaling (2 papers). The work is most often cited by research in Clinical Biochemistry (98 citations), Behavioral Neuroscience (21 citations), Molecular Biology (390 citations), Genetics (134 citations) and Endocrinology, Diabetes and Metabolism (70 citations). Anik Forest has collaborated with scholars based in Canada, United States and France. Frequent co-authors include William B. Pratt, Julianne J. Sando, Christine Des Rosiers, Eric A. Shoubridge, Matthieu Ruiz, Somayyeh Fahiminiya, Nicolas Sgarioto, Karen L. Leach, Heidi M. McBride and Vincent Paupe. Their work appears in journals such as The FASEB Journal, Journal of Biological Chemistry, Human Molecular Genetics, Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease and Infection and Immunity.

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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