Ivan Krivega

1.3k citations
21 papers · 887 indexed · h-index 11

Impact in

  • Genetics top 10%
    • Hemoglobinopathies and Related Disorders
    • Genomics and Chromatin Dynamics
    • RNA Research and Splicing
    • Epigenetics and DNA Methylation
    • CRISPR and Genetic Engineering
    • RNA modifications and cancer
    • RNA and protein synthesis mechanisms

Papers in

    • Hemoglobinopathies and Related Disorders 3
    • Genomics and Chromatin Dynamics 13
    • RNA Research and Splicing 11
    • RNA modifications and cancer 5
    • CRISPR and Genetic Engineering 3
    • Epigenetics and DNA Methylation 3

Ivan Krivega

20 papers receiving 877 citations

Peers

Ivan Krivega
Comparison fields: 5 of 68
  • Genetics 157
  • Molecular Biology 793
  • Hematology 80
  • Cancer Research 67
  • Genetics 110
Replace Jacqueline A. Sloane-Stanley with:
Jacqueline A. Sloane-Stanley United Kingdom
Kaimao Liu United States
Xianjiang Lan United States
L.‐C. Yu United States
A. Marieke Oudelaar United Kingdom
Sara R. Fagerlie United States
Jon Kerry United Kingdom
Lars L. P. Hanssen United Kingdom
Antonella Palena Italy
Ruth Williams United Kingdom
Ivan Krivega relative to Jacqueline A. Sloane-Stanley United Kingdom Jacqueline A. Sloane-Stanley's profile →
Citations per field
00.5×1.5×2.0×
Jacqueline A. Sloane-Stanley · 1×
Citations per year

Countries citing papers authored by Ivan Krivega

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Krivega

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20243
2 202012
3 201848
4 201750
5 20176
6 20175
7 201758
8 20177
9 20171
10 20170
11 201567
12 201486
13 2014311
14 20131
15 2011164
16 20109
17 20074
18 20073
19 200314
20 200320

About Ivan Krivega

Ivan Krivega is a scholar working on Genetics, Molecular Biology, Cancer Research, Gastroenterology and Plant Science, having authored 21 papers that have together received 887 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (13 papers), RNA Research and Splicing (11 papers), RNA modifications and cancer (5 papers), Chromosomal and Genetic Variations (4 papers), CRISPR and Genetic Engineering (3 papers), Epigenetics and DNA Methylation (3 papers), Hemoglobinopathies and Related Disorders (3 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Genetics (157 citations), Molecular Biology (793 citations), Hematology (80 citations), Cancer Research (67 citations) and Genetics (110 citations). Ivan Krivega has collaborated with scholars based in United States, Russia and United Kingdom. Frequent co-authors include Ann Dean, Ryan Dale, Wulan Deng, Kristen S. Jahn, Irene Motta, Jeremy Rupon, Laura Breda, Stefano Rivella, Philip D. Gregory and Gerd A. Blobel. Their work appears in journals such as Cell Reports, Immunology Letters, Nucleic Acids Research, Blood and Nature Structural & Molecular Biology.

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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