Ite A. Laird‐Offringa

5.6k citations
68 papers · 3.3k indexed · h-index 34

Ite A. Laird‐Offringa

67 papers receiving 3.2k citations

Peers

Ite A. Laird‐Offringa
Comparison fields: 5 of 126
  • Molecular Biology 2.6k
  • Pulmonary and Respiratory Medicine 629
  • Cancer Research 588
  • Oncology 387
  • Genetics 180
Replace Suhas Vasaikar with:
Suhas Vasaikar United States
Kaoru Mogushi Japan
Karolina Edlund Sweden
Dario de Biase Italy
Edwin Wang Canada
Dmitri Mouradov Australia
Javier Hernández‐Losa Spain
Liwen Xu China
Francesca Pentimalli Italy
Niklas Rindtorff Germany
Ite A. Laird‐Offringa relative to Suhas Vasaikar United States Suhas Vasaikar's profile →
Citations per field
00.5×10×13.3×
Suhas Vasaikar · 1×
Citations per year

Countries citing papers authored by Ite A. Laird‐Offringa

Since Specialization
Citations

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

Fields of papers citing papers by Ite A. Laird‐Offringa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ite A. Laird‐Offringa. 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 Ite A. Laird‐Offringa. The network helps show where Ite A. Laird‐Offringa may publish in the future.

Co-authorship network of co-authors of Ite A. Laird‐Offringa

This figure shows the co-authorship network connecting the top 25 collaborators of Ite A. Laird‐Offringa. A scholar is included among the top collaborators of Ite A. Laird‐Offringa based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ite A. Laird‐Offringa. Ite A. Laird‐Offringa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 3
3 1
4 9
5 4
6 70
7 22
8 34
9 35
10 68
11 37
12 14
13 74
14 3
15 17
16 59
17 57
18 3
19 227
20 88

About Ite A. Laird‐Offringa

Ite A. Laird‐Offringa is a scholar working on Cancer Research, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 68 papers that have together received 3.3k indexed citations. Recurring topics across this work include RNA modifications and cancer (29 papers), Epigenetics and DNA Methylation (21 papers) and RNA and protein synthesis mechanisms (18 papers). The work is most often cited by research in Cancer Research (588 citations), Molecular Biology (2.6k citations) and Pulmonary and Respiratory Medicine (629 citations). Ite A. Laird‐Offringa has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include Jeffrey A. Hagen, Kimberly D. Siegmund, Jeffrey A. Tsou, Peter W. Laird, Michael N. Koss, Catherine L. Carpenter, Mihaela Campan, Janice S. Galler, Suhaida A. Selamat and Adi F. Gazdar. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

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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