N. K. Tonks

6.2k citations
25 papers · 5.5k indexed · 5 hit papers · h-index 22
Topics
Protein Tyrosine Phosphatases (20 papers)Galectins and Cancer Biology (10 papers)RNA modifications and cancer (8 papers)

In The Last Decade

N. K. Tonks

25 papers receiving 5.4k citations

Hit Papers

Requirement for integration of signals from two distinct ...198820262000201319901991199719881989250500750

Peers

N. K. Tonks
Comparison fields: 5 of 110
  • Molecular Biology 4.7k
  • Immunology 2.0k
  • Oncology 680
  • Cell Biology 669
  • Cellular and Molecular Neuroscience 300
Replace Shane C. Masters with:
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Citations per field
00.5×1.5×2.3×
Shane C. Masters · 1×
Citations per year

Countries citing papers authored by N. K. Tonks

Since Specialization
Citations

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

Fields of papers citing papers by N. K. Tonks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of N. K. Tonks

This figure shows the co-authorship network connecting the top 25 collaborators of N. K. Tonks. A scholar is included among the top collaborators of N. K. Tonks 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 N. K. Tonks. N. K. Tonks 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 32
3 37
4 428
5 36
6 64
7
Protein tyrosine phosphatases in signal transductionbreakdown →
680
8 150
9
Constitutive MAP kinase phosphatase (MKP-1) expression blocks G1 specific gene transcription and S-phase entry in fibroblasts.
141
10 8
11 186
12 100
13 66
14 83
15
Protein Tyrosine Phosphatases: A Diverse Family of Intracellular and Transmembrane Enzymesbreakdown →
860
16
Requirement for integration of signals from two distinct phosphorylation pathways for activation of MAP kinasebreakdown →
970
17 137
18 71
19
cDNA isolated from a human T-cell library encodes a member of the protein-tyrosine-phosphatase family.breakdown →
282
20
Demonstration that the leukocyte common antigen (CD45) is a protein tyrosine phosphatasebreakdown →
370

About N. K. Tonks

N. K. Tonks is a scholar working on Immunology, Aging and Molecular Biology, having authored 25 papers that have together received 5.5k indexed citations. Recurring topics across this work include Protein Tyrosine Phosphatases (20 papers), Galectins and Cancer Biology (10 papers) and RNA modifications and cancer (8 papers). The work is most often cited by research in Immunology (2.0k citations), Molecular Biology (4.7k citations) and Aging (101 citations). N. K. Tonks has collaborated with scholars based in United States, France and Canada. Frequent co-authors include Benjamin G. Neel, Harry Charbonneau, E H Fischer, Thomas W. Sturgill, James L. Maller, Neil G. Anderson, Qing Yang, Susann M. Brady‐Kalnay, Kenneth A. Walsh and Edmond H. Fischer. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.

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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