Miha Modic

1.5k citations
22 papers · 823 · h-index 12

Impact in

  • Neurology top 5%
    • Amyotrophic Lateral Sclerosis Research
  • Genetics top 5%
    • Neurogenetic and Muscular Disorders Research

Papers in

    • RNA Research and Splicing 11
    • RNA modifications and cancer 7
    • CRISPR and Genetic Engineering 5
    • RNA and protein synthesis mechanisms 4
    • Pluripotent Stem Cells Research 2
    • Cancer-related gene regulation 2
    • Amyotrophic Lateral Sclerosis Research 4

Miha Modic

20 papers receiving 817 citations

Peers

Miha Modic
Comparison fields: 5 of 59
  • Neurology 291
  • Genetics 203
  • Molecular Biology 656
  • Cancer Research 103
  • Developmental Neuroscience 25
Replace Danae Campos‐Melo with:
Danae Campos‐Melo Canada
Anthony Q. Vu United States
Julianne Aebischer France
Matthew Wyles United Kingdom
Mariah L. Hoye United States
Sandra Camelo United States
Nipun A. Mistry United States
Laura De Conti Italy
Julio Aguila Benitez Sweden
Matthew D. Figley United States
Miha Modic relative to Danae Campos‐Melo Canada Danae Campos‐Melo's profile →
Citations per field
00.5×2.8×
Danae Campos‐Melo · 1×
Citations per year

Countries citing papers authored by Miha Modic

Since Specialization
Citations

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

Fields of papers citing papers by Miha Modic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012207
2 2019111
3 2015102
4 201999
5 201770
6 201955
7 201938
8 201328
9 202323
10 201821
11 202016
12 201912
13 202111
14 202411
15 20235
16 20245
17 20244
18 20242
19 20182
20 20191

About Miha Modic

Miha Modic is a scholar working on Molecular Biology, Neurology, Genetics, Cell Biology and Genetics, having authored 22 papers that have together received 823 indexed citations. Recurring topics across this work include RNA Research and Splicing (11 papers), RNA modifications and cancer (7 papers), CRISPR and Genetic Engineering (5 papers), Amyotrophic Lateral Sclerosis Research (4 papers), RNA and protein synthesis mechanisms (4 papers), Pluripotent Stem Cells Research (2 papers), Cancer-related gene regulation (2 papers) and Neurogenetic and Muscular Disorders Research (2 papers). The work is most often cited by research in Neurology (291 citations), Genetics (203 citations), Molecular Biology (656 citations), Cancer Research (103 citations) and Developmental Neuroscience (25 citations). Miha Modic has collaborated with scholars based in United Kingdom, Germany and Slovenia. Frequent co-authors include Jernej Ule, Tomaž Curk, Nejc Haberman, Gregor Rot, Boris Rogelj, Christopher E. Shaw, Christopher R. Sibley, Yoichiro Sugimoto, James Tollervey and Lawrence W. Stanton. Their work appears in journals such as Scientific Reports, Nucleic Acids Research, Molecular Cell, Cell Reports and Nature Communications.

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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