Nathan K. Leclair

906 citations
28 papers · 544 · h-index 8

Impact in

    • Cancer-related molecular mechanisms research
    • RNA Research and Splicing
    • RNA modifications and cancer
    • RNA and protein synthesis mechanisms
    • Cancer-related gene regulation
    • RNA regulation and disease
    • Epigenetics and DNA Methylation
    • RNA Interference and Gene Delivery

Papers in

Nathan K. Leclair

24 papers receiving 539 citations

Peers

Nathan K. Leclair
Comparison fields: 5 of 65
  • Cancer Research 126
  • Molecular Biology 444
  • Genetics 22
  • Oncology 44
  • Immunology 32
Replace N. P. Kisseljova with:
N. P. Kisseljova Russia
Tianyu Xing China
Amanda Ernlund United States
Siwen Dang China
Yijuan Xin China
Park Sm South Korea
Carmen O.N. Leung Hong Kong
Carlos Rodríguez‐Antolín Spain
Mototsugu Watanabe Japan
Samuel Gusscott Canada
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Citations per field
00.5×10×15×18.3×
N. P. Kisseljova · 1×
Citations per year

Countries citing papers authored by Nathan K. Leclair

Since Specialization
Citations

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

Fields of papers citing papers by Nathan K. Leclair

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nathan K. Leclair. 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 Nathan K. Leclair. The network helps show where Nathan K. Leclair may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018256
2 2020101
3 201971
4 202230
5 202115
6 202111
7 20229
8 20239
9 20236
10 20254
11 20204
12 20244
13 20253
14 20213
15 20233
16 20222
17 20222
18 20222
19 20232
20 20232

About Nathan K. Leclair

Nathan K. Leclair is a scholar working on Molecular Biology, Neurology, Public Health, Environmental and Occupational Health, Surgery and Genetics, having authored 28 papers that have together received 544 indexed citations. Recurring topics across this work include RNA Research and Splicing (7 papers), RNA modifications and cancer (5 papers), RNA and protein synthesis mechanisms (4 papers), Cleft Lip and Palate Research (3 papers), Craniofacial Disorders and Treatments (3 papers), Spinal Dysraphism and Malformations (3 papers), Glioma Diagnosis and Treatment (3 papers) and Anatomy and Medical Technology (2 papers). The work is most often cited by research in Cancer Research (126 citations), Molecular Biology (444 citations), Genetics (22 citations), Oncology (44 citations) and Immunology (32 citations). Nathan K. Leclair has collaborated with scholars based in United States, Germany and Philippines. Frequent co-authors include Olga Anczuków, Laura M. Urbanski, Mattia Brugiolo, Joshy George, Marina Yurieva, Ketan Thakar, J. Travis Hinson, Albert W. Cheng, Brenton R. Graveley and Jonathan E. Martin. Their work appears in journals such as Neurosurgical FOCUS, World Neurosurgery, Acta Neurochirurgica, Cell Reports and Journal of Neurosurgery Pediatrics.

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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