Daniel M. Passon

501 citations
13 papers · 370 · h-index 11

Impact in

    • RNA Research and Splicing
    • RNA modifications and cancer
    • RNA and protein synthesis mechanisms
    • Peroxisome Proliferator-Activated Receptors
    • RNA regulation and disease

Papers in

    • RNA Research and Splicing 7
    • RNA and protein synthesis mechanisms 5
    • RNA modifications and cancer 5
    • Peroxisome Proliferator-Activated Receptors 3
    • Protein Structure and Dynamics 2
    • Signaling Pathways in Disease 1
    • Enzyme Structure and Function 3

Daniel M. Passon

12 papers receiving 367 citations

Peers

Daniel M. Passon
Comparison fields: 5 of 63
  • Molecular Biology 310
  • Structural Biology 6
  • Cancer Research 41
  • Pollution 18
  • Physiology 7
Replace Stephen Shang with:
Stephen Shang United States
Pascal A. Küpfer Switzerland
Avinash B. Patel United States
Emanuela Micheli Italy
Aaron R. Robart United States
Babatunde Ekundayo Switzerland
Monica Zobawa Germany
Miriam-Rose Ash Australia
J Radik Australia
Runze Dong China
Daniel M. Passon relative to Stephen Shang United States Stephen Shang's profile →
Citations per field
00.5×4.5×
Stephen Shang · 1×
Citations per year

Countries citing papers authored by Daniel M. Passon

Since Specialization
Citations

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

Fields of papers citing papers by Daniel M. Passon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel M. Passon. 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 Daniel M. Passon. The network helps show where Daniel M. Passon may publish in the future.

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2012125
2 201545
3 201434
4 202031
5 201525
6 202123
7 201521
8 201619
9 201119
10 201113
11 201213
12 20242
13
Dimerization and RNA binding of paraspeckle proteins
20120

About Daniel M. Passon

Daniel M. Passon is a scholar working on Molecular Biology, Materials Chemistry, Ecology, Evolution, Behavior and Systematics, Spectroscopy and Biochemistry, having authored 13 papers that have together received 370 indexed citations. Recurring topics across this work include RNA Research and Splicing (7 papers), RNA and protein synthesis mechanisms (5 papers), RNA modifications and cancer (5 papers), Peroxisome Proliferator-Activated Receptors (3 papers), Enzyme Structure and Function (3 papers), Protein Structure and Dynamics (2 papers), Signaling Pathways in Disease (1 paper) and Graphene and Nanomaterials Applications (1 paper). The work is most often cited by research in Molecular Biology (310 citations), Structural Biology (6 citations), Cancer Research (41 citations), Pollution (18 citations) and Physiology (7 citations). Daniel M. Passon has collaborated with scholars based in Germany, Australia and United States. Frequent co-authors include Charles S. Bond, Archa H. Fox, Mihwa Lee, Matthias Wilmanns, Oliver Rackham, Aleksandra Filipovska, Will A. Stanley, Agata Sadowska, Mohanraj Gopalswamy and Leonidas Emmanouilidis. Their work appears in journals such as Pest Management Science, IUCrJ, Traffic, Journal of Biological Chemistry and Biochimica et Biophysica Acta (BBA) - Molecular Cell Research.

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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