Fred Mermelstein

1.9k citations
27 papers · 1.6k · h-index 18

Impact in

    • Genomics and Chromatin Dynamics
    • RNA Research and Splicing
    • RNA modifications and cancer
    • RNA and protein synthesis mechanisms
    • Fungal and yeast genetics research
    • Ubiquitin and proteasome pathways

Papers in

    • Genomics and Chromatin Dynamics 5
    • RNA Research and Splicing 3
    • Anesthesia and Pain Management 6

Fred Mermelstein

27 papers receiving 1.6k citations

Peers

Fred Mermelstein
Comparison fields: 5 of 97
  • Anesthesiology and Pain Medicine 154
  • Molecular Biology 1.1k
  • Pharmacology 163
  • Oncology 251
  • Cell Biology 134
Replace Mark Worthington with:
Mark Worthington United States
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Rong Zhao China
Christopher T. Campbell United States
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Shaun Greer United Kingdom
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Citations per field
00.5×3.1×
Mark Worthington · 1×
Citations per year

Countries citing papers authored by Fred Mermelstein

Since Specialization
Citations

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

Fields of papers citing papers by Fred Mermelstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995377
2 1992346
3 2004136
4 1996114
5 199486
6 199378
7 198962
8 198961
9 199137
10 198936
11 200734
12 200732
13 199132
14 201127
15 200726
16 200922
17 200821
18 200720
19 201317
20 200911

About Fred Mermelstein

Fred Mermelstein is a scholar working on Molecular Biology, Surgery, Anesthesiology and Pain Medicine, Pharmacology and Genetics, having authored 27 papers that have together received 1.6k indexed citations. Recurring topics across this work include Anesthesia and Pain Management (6 papers), Pain Management and Opioid Use (6 papers), Genomics and Chromatin Dynamics (5 papers), RNA Research and Splicing (3 papers), Dental Anxiety and Anesthesia Techniques (3 papers), Intramuscular injections and effects (3 papers), Inflammatory mediators and NSAID effects (3 papers) and Anesthesia and Sedative Agents (3 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (154 citations), Molecular Biology (1.1k citations), Pharmacology (163 citations), Oncology (251 citations) and Cell Biology (134 citations). Fred Mermelstein has collaborated with scholars based in United States, Netherlands and Israel. Frequent co-authors include Danny Reinberg, Ilho Ha, William S. Lane, Brian David Dynlacht, David O. Morgan, Ronny Drapkin, Ramin Shiekhattar, Robert P. Fisher, Daniel B. Carr and Douglas A. Hamilton. Their work appears in journals such as Genes & Development, Regional Anesthesia & Pain Medicine, Molecular and Cellular Biology, Pain Medicine and International Journal of Pharmaceutics.

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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