Rebecca Nagy

5.1k citations
28 papers · 2.7k indexed · 1 hit paper · h-index 20

Rebecca Nagy

28 papers receiving 2.6k citations

Hit Papers

The role of microRNA genes in papillary thyroid carcinoma20052026201220192005250500750

Peers

Rebecca Nagy
Comparison fields: 5 of 105
  • Molecular Biology 1.5k
  • Cancer Research 1.3k
  • Endocrinology, Diabetes and Metabolism 729
  • Genetics 642
  • Oncology 321
Replace Tatiana Rogounovitch with:
Tatiana Rogounovitch Japan
Diana Learoyd Australia
Gerry Thomas United Kingdom
M.H. Skolnick United States
Myriam Decaussin‐Petrucci France
Naoki Kitabayashi United States
Shirley V. Hodgson United Kingdom
Tomonori Yabuta Japan
Leigha Senter United States
William G. Dilley United States
Rebecca Nagy relative to Tatiana Rogounovitch Japan Tatiana Rogounovitch's profile →
Citations per field
00.5×4.6×
Tatiana Rogounovitch · 1×
Citations per year

Countries citing papers authored by Rebecca Nagy

Since Specialization
Citations

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

Fields of papers citing papers by Rebecca Nagy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rebecca Nagy

This figure shows the co-authorship network connecting the top 25 collaborators of Rebecca Nagy. A scholar is included among the top collaborators of Rebecca Nagy 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 Rebecca Nagy. Rebecca Nagy 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 18
2 29
3 24
4 74
5 63
6 22
7 56
8 66
9 4
10 207
11 9
12 26
13 81
14 54
15 88
16 18
17 115
18 27
19 52
20 237

About Rebecca Nagy

Rebecca Nagy is a scholar working on Endocrinology, Diabetes and Metabolism, Otorhinolaryngology and Aging, having authored 28 papers that have together received 2.7k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (15 papers), BRCA gene mutations in cancer (8 papers) and Genetic factors in colorectal cancer (4 papers). The work is most often cited by research in Cancer Research (1.3k citations), Endocrinology, Diabetes and Metabolism (729 citations) and Genetics (642 citations). Rebecca Nagy has collaborated with scholars based in United States, Poland and Australia. Frequent co-authors include Albert de la Chapelle, Huiling He, Sandya Liyanarachchi, Richard T. Kloos, Saul Suster, Charis Eng, Krystian Jażdżewski, Kevin Sweet, Carlo M. Croce and George A. Calin. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Clinical Endocrinology & Metabolism and Cancer Research.

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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