Jeffrey A. Knauf

13.0k citations
85 papers · 9.6k indexed · 3 hit papers · h-index 47

Jeffrey A. Knauf

85 papers receiving 9.4k citations

Hit Papers

High prevalence of BRAF mutations in thyroid cancer: gene...20032026201020182003201620034008001.2k

Peers

Jeffrey A. Knauf
Comparison fields: 5 of 127
  • Endocrinology, Diabetes and Metabolism 6.4k
  • Molecular Biology 4.2k
  • Oncology 3.7k
  • Genetics 1.5k
  • Pathology and Forensic Medicine 1.3k
Replace Massimo Santoro with:
Massimo Santoro Italy
Italia Bongarzone Italy
Gennaro Chiappetta Italy
Francesca Carlomagno Italy
Douglas W. Ball United States
Angela Greco Italy
Maria Grazia Borrello Italy
Hiroyuki Namba Japan
Mercedes Robledo Spain
Valdemar Máximo Portugal
Jeffrey A. Knauf relative to Massimo Santoro Italy Massimo Santoro's profile →
Citations per field
00.5×1.5×
Massimo Santoro · 1×
Citations per year

Countries citing papers authored by Jeffrey A. Knauf

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey A. Knauf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeffrey A. Knauf. 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 Jeffrey A. Knauf. The network helps show where Jeffrey A. Knauf may publish in the future.

Co-authorship network of co-authors of Jeffrey A. Knauf

This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey A. Knauf. A scholar is included among the top collaborators of Jeffrey A. Knauf 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 Jeffrey A. Knauf. Jeffrey A. Knauf 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 12
2 71
3 130
4 12
5 71
6 94
7
Genomic and transcriptomic hallmarks of poorly differentiated and anaplastic thyroid cancersbreakdown →
862
8 99
9 112
10 112
11 40
12 177
13 66
14 420
15 73
16 490
17 113
18 116
19
BRAF Mutations in Thyroid Tumors Are Restricted to Papillary Carcinomas and Anaplastic or Poorly Differentiated Carcinomas Arising from Papillary Carcinomasbreakdown →
823
20 51

About Jeffrey A. Knauf

Jeffrey A. Knauf is a scholar working on Endocrinology, Diabetes and Metabolism, Oncology and Molecular Biology, having authored 85 papers that have together received 9.6k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (51 papers), Cancer-related Molecular Pathways (41 papers) and S100 Proteins and Annexins (10 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (6.4k citations), Oncology (3.7k citations) and Pathology and Forensic Medicine (1.3k citations). Jeffrey A. Knauf has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include James A. Fagin, Yuri E. Nikiforov, Marina N. Nikiforova, Zhaowen Zhu, Edna Teruko Kimura, Ronald Ghossein, Julio C. Ricarte‐Filho, Manoj Gandhi, Norisato Mitsutake and Iñigo Landa. 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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