Freda L. Arlow

424 total citations
14 papers, 341 citations indexed

About

Freda L. Arlow is a scholar working on Molecular Biology, Surgery and Genetics. According to data from OpenAlex, Freda L. Arlow has authored 14 papers receiving a total of 341 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Surgery and 3 papers in Genetics. Recurrent topics in Freda L. Arlow's work include Polyamine Metabolism and Applications (5 papers), Amino Acid Enzymes and Metabolism (3 papers) and Diversity and Career in Medicine (3 papers). Freda L. Arlow is often cited by papers focused on Polyamine Metabolism and Applications (5 papers), Amino Acid Enzymes and Metabolism (3 papers) and Diversity and Career in Medicine (3 papers). Freda L. Arlow collaborates with scholars based in United States. Freda L. Arlow's co-authors include Adhip P.N. Majumdar, Gordon D. Luk, Robyn G. Karlstadt, Jeffrey A. Moshier, Steven Walczak, Robert J. Priest, W. T. Beher, Alexander A. Dekovich, T T Schubert and Patricia Raymond and has published in prestigious journals such as Gastroenterology, The American Journal of Gastroenterology and Life Sciences.

In The Last Decade

Freda L. Arlow

14 papers receiving 330 citations

Peers

Freda L. Arlow
Comparison fields: 5 of 65
  • Surgery 127
  • Molecular Biology 110
  • Oncology 63
  • Gender Studies 57
  • Pulmonary and Respiratory Medicine 52
Replace Sun‐Kuie Tay with:
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Binh Y. Goldstein United States
Huma Arshad Cheema Pakistan
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Hakan Yüceyar Türkiye
Ángel Ponferrada Spain
Lucy S. Ito Japan
S Ghione Italy
W. Nützenadel Germany
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Citations per field, relative to Freda L. Arlow
Freda L. Arlow · 1×
Citations per year, relative to Freda L. Arlow
Freda L. Arlow · 1×

Countries citing papers authored by Freda L. Arlow

Since Specialization
Citations

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

Fields of papers citing papers by Freda L. Arlow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Freda L. Arlow. 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 Freda L. Arlow. The network helps show where Freda L. Arlow may publish in the future.

Co-authorship network of co-authors of Freda L. Arlow

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

All Works

14 of 14 papers shown
# Work Indexed citations
1 35
2 29
3 3
4 25
5
Decrease in ornithine decarboxylase activity after eradication of Helicobacter pylori.
26
6 20
7
Supplemental calcium suppresses colonic mucosal ornithine decarboxylase activity in elderly patients with adenomatous polyps.
35
8 10
9 37
10
Attenuation of azoxymethane-induced colonic mucosal ornithine decarboxylase and tyrosine kinase activity by calcium in rats.
27
11 30
12 30
13 32
14
Barium granuloma mimicking rectal carcinoma.
2

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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