Katherine Tynan

666 citations
12 papers · 554 indexed · h-index 9
Topics
Connective tissue disorders research (3 papers)DNA and Nucleic Acid Chemistry (2 papers)Protease and Inhibitor Mechanisms (2 papers)

In The Last Decade

Katherine Tynan

12 papers receiving 537 citations

Peers

Katherine Tynan
Comparison fields: 5 of 63
  • Genetics 303
  • Molecular Biology 178
  • Pulmonary and Respiratory Medicine 159
  • Cancer Research 145
  • Oncology 90
Replace Takehiko Sasazuki with:
Takehiko Sasazuki Japan
Michele G. Mehaffey United States
Reimi Kawaida Japan
Marie‐Berthe Raes France
Takehiko Sasazuki Japan
Ellen Kater‐Baats Netherlands
Verena Meier Switzerland
Michael J. White United States
Jeannine Lacroix Germany
Emma Ivansson Sweden
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Citations per field
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Takehiko Sasazuki · 1×
Citations per year

Countries citing papers authored by Katherine Tynan

Since Specialization
Citations

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

Fields of papers citing papers by Katherine Tynan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katherine Tynan

This figure shows the co-authorship network connecting the top 25 collaborators of Katherine Tynan. A scholar is included among the top collaborators of Katherine Tynan 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 Katherine Tynan. Katherine Tynan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
#WorkIndexed citations
1 72
2 1
3
Biomarkers for Infectious Disease Diagnostics in the Developing World: Diagnosis of Tuberculosis in HIV Positive and HIV Negative Individuals
1
4
A Gly1127Ser mutation in an EGF-like domain of the fibrillin-1 gene is a risk factor for ascending aortic aneurysm and dissection.
124
5 73
6 72
7 70
8 7
9 35
10 23
11 47
12 29

About Katherine Tynan

Katherine Tynan is a scholar working on Cancer Research, Genetics and Parasitology, having authored 12 papers that have together received 554 indexed citations. Recurring topics across this work include Connective tissue disorders research (3 papers), DNA and Nucleic Acid Chemistry (2 papers) and Protease and Inhibitor Mechanisms (2 papers). The work is most often cited by research in Genetics (303 citations), Cancer Research (145 citations) and Immunology and Allergy (33 citations). Katherine Tynan has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Uta Francke, Takeshi Aoyama, Heinz Furthmayr, Mary Anne Berg, D. Craig Miller, Anne S. Olsen, Barbara J. Trask, A.V. Carrano, Thomas Brenn and Harry C. Dietz. Their work appears in journals such as Nucleic Acids Research, Human Molecular Genetics and American Journal of Obstetrics and Gynecology.

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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