Mario Halić

3.1k citations
36 papers · 2.2k indexed · 1 hit paper · h-index 23
    • RNA and protein synthesis mechanisms 21
    • Genomics and Chromatin Dynamics 16
    • RNA modifications and cancer 13
    • RNA Research and Splicing 7
    • CRISPR and Genetic Engineering 4
    • DNA Repair Mechanisms 4
  • Aging top 5%
  • Genetics top 5%
    • Bacterial Genetics and Biotechnology 5
  • Cell Biology top 10%
    • Chromosomal and Genetic Variations 6

Mario Halić

35 papers receiving 2.1k citations

Hit Papers

Structure of the signal recognition particle interacting ...3332004202620112018100200300

Peers

Mario Halić
Comparison fields: 5 of 94
  • Structural Biology 59
  • Molecular Biology 1.9k
  • Aging 41
  • Genetics 438
  • Cell Biology 173
Replace Jan P. Erzberger with:
Jan P. Erzberger United States
Christian Speck United Kingdom
J. Basquin Germany
Joseph T.P. Yeeles United Kingdom
Maria Spies United States
Svetlana Dokudovskaya France
Tamar Juven‐Gershon Israel
Sy Redding United States
Ann L. Beyer United States
Melanie D. Ohi United States
Mario Halić relative to Jan P. Erzberger United States Jan P. Erzberger's profile →
Citations per field
00.5×
Jan P. Erzberger · 1×
Citations per year

Countries citing papers authored by Mario Halić

Since Specialization
Citations

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

Fields of papers citing papers by Mario Halić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20244
2 202313
3 202353
4 202211
5 202174
6 2020104
7 201947
8 201953
9 201829
10 20186
11 201860
12 201723
13 20173
14 201616
15 201349
16 2010159
17 2006159
18 2005121
19 200537
20 200485

About Mario Halić

Mario Halić is a scholar working on Aging, Molecular Biology, Plant Science, Genetics and Endocrinology, having authored 36 papers that have together received 2.2k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (21 papers), Genomics and Chromatin Dynamics (16 papers), RNA modifications and cancer (13 papers), RNA Research and Splicing (7 papers), Chromosomal and Genetic Variations (6 papers), Bacterial Genetics and Biotechnology (5 papers), CRISPR and Genetic Engineering (4 papers) and DNA Repair Mechanisms (4 papers). The work is most often cited by research in Structural Biology (59 citations), Molecular Biology (1.9k citations), Aging (41 citations), Genetics (438 citations) and Cell Biology (173 citations). Mario Halić has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Roland Beckmann, Silvija Bilokapić, Danesh Moazed, Martin Pool, Thomas Becker, Mike Strauss, C.M.T. Spahn, Thorsten Mielke, Irmgard Sinning and Joachim Frank. Their work appears in journals such as Nature Structural & Molecular Biology, Molecular Cell, Nature, Nature Communications and EMBO 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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