John J. Ferrie

1.1k citations
26 papers · 699 · h-index 17

Impact in

Papers in

    • Protein Structure and Dynamics 5
    • Chemical Synthesis and Analysis 5
    • RNA and protein synthesis mechanisms 5
    • Genomics and Chromatin Dynamics 3
    • Parkinson's Disease Mechanisms and Treatments 6
    • Neurological disorders and treatments 3

John J. Ferrie

25 papers receiving 697 citations

Peers

John J. Ferrie
Comparison fields: 5 of 73
  • Biophysics 57
  • Neurology 120
  • Molecular Biology 469
  • Organic Chemistry 143
  • Physiology 96
Replace Eric Lindberg with:
Eric Lindberg United States
Conor M. Haney United States
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Niraja Kedia India
Rebecca F. Wissner United States
John B. Warner United States
Aditya Iyer Netherlands
Przemysław Miszta Poland
Patrick D. Braun United States
Cédric Eichmann Switzerland
John J. Ferrie relative to Eric Lindberg United States Eric Lindberg's profile →
Citations per field
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Eric Lindberg · 1×
Citations per year

Countries citing papers authored by John J. Ferrie

Since Specialization
Citations

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

Fields of papers citing papers by John J. Ferrie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John J. Ferrie. 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 John J. Ferrie. The network helps show where John J. Ferrie may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202184
2 201784
3 202275
4 201859
5 202035
6 201535
7 201628
8 202328
9 202027
10 201826
11 201723
12 202223
13 201822
14 201219
15 202018
16 201817
17 201817
18 201715
19 202014
20 202013

About John J. Ferrie

John J. Ferrie is a scholar working on Molecular Biology, Neurology, Organic Chemistry, Physiology and Materials Chemistry, having authored 26 papers that have together received 699 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (6 papers), Alzheimer's disease research and treatments (5 papers), Protein Structure and Dynamics (5 papers), Chemical Synthesis and Analysis (5 papers), RNA and protein synthesis mechanisms (5 papers), Click Chemistry and Applications (4 papers), Genomics and Chromatin Dynamics (3 papers) and Neurological disorders and treatments (3 papers). The work is most often cited by research in Biophysics (57 citations), Neurology (120 citations), Molecular Biology (469 citations), Organic Chemistry (143 citations) and Physiology (96 citations). John J. Ferrie has collaborated with scholars based in United States, China and Japan. Frequent co-authors include E. James Petersson, Robert Tjian, Xavier Darzacq, Conor M. Haney, Kieran Koch‐Laskowski, Matthew R. Hayes, Thomas J. A. Graham, Chia‐Ju Hsieh, Xing Chen and Elizabeth G. Mietlicki‐Baase. Their work appears in journals such as Chemical Communications, The Journal of Physical Chemistry B, Molecular Cell, ACS Chemical Neuroscience and Scientific Reports.

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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