Sarah Fish

821 citations
20 papers · 480 · h-index 10

Impact in

Papers in

    • RNA and protein synthesis mechanisms 4
    • RNA modifications and cancer 4
    • Protein Degradation and Inhibitors 2
    • Phytochemical compounds biological activities 2
    • Liver Disease Diagnosis and Treatment 4

Sarah Fish

19 papers receiving 460 citations

Peers

Sarah Fish
Comparison fields: 5 of 78
  • Hepatology 37
  • Molecular Biology 272
  • Organic Chemistry 115
  • Molecular Medicine 15
  • Clinical Biochemistry 18
Replace Payal R. Sheth with:
Payal R. Sheth United States
Peter Hafkemeyer Germany
Siddharth Sinha Macao
Mi Young Lee South Korea
Glenn S. Van Aller United States
Yasmin Badshah Pakistan
Nannan Liu China
Kristine Svenson United States
Upasana Mehra United States
Sarah Fish relative to Payal R. Sheth United States Payal R. Sheth's profile →
Citations per field
00.5×4.1×
Payal R. Sheth · 1×
Citations per year

Countries citing papers authored by Sarah Fish

Since Specialization
Citations

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

Fields of papers citing papers by Sarah Fish

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2006118
2 201671
3 200559
4 202048
5 200541
6 201439
7 202123
8 201716
9 202015
10 200513
11 20209
12
Jobseekers Regime and Flexible New Deal, the Six Month Offer and Support for the Newly Unemployed evaluations: An early process study
20106
13 20246
14 20215
15 20224
16 20193
17 20212
18 20221
19 20241
20 20240

About Sarah Fish

Sarah Fish is a scholar working on Molecular Biology, Epidemiology, Genetics, Pathology and Forensic Medicine and Physiology, having authored 20 papers that have together received 480 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (4 papers), RNA and protein synthesis mechanisms (4 papers), RNA modifications and cancer (4 papers), Diabetes and associated disorders (2 papers), Protein Degradation and Inhibitors (2 papers), Phytochemical compounds biological activities (2 papers), Multiple Myeloma Research and Treatments (2 papers) and Alcohol Consumption and Health Effects (2 papers). The work is most often cited by research in Hepatology (37 citations), Molecular Biology (272 citations), Organic Chemistry (115 citations), Molecular Medicine (15 citations) and Clinical Biochemistry (18 citations). Sarah Fish has collaborated with scholars based in United States, Denmark and Germany. Frequent co-authors include Daniel Wall, Jamie M. Froelich, Klaus B. Simonsen, Douglas E. Murphy, Zhongxiang Sun, Thomas Hermann, Natalie J. Török, Dionisios Vourloumis, V. Gregor and Joy X. Jiang. Their work appears in journals such as Cancer Research, Bioorganic & Medicinal Chemistry Letters, Molecular Cancer Therapeutics, Scientific Reports and The FASEB Journal.

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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