Kathryn A. Tunny

891 total citations
8 papers, 528 citations indexed

About

Kathryn A. Tunny is a scholar working on Molecular Biology, Oncology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Kathryn A. Tunny has authored 8 papers receiving a total of 528 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Oncology and 3 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Kathryn A. Tunny's work include Cytokine Signaling Pathways and Interactions (4 papers), Growth Hormone and Insulin-like Growth Factors (3 papers) and PI3K/AKT/mTOR signaling in cancer (2 papers). Kathryn A. Tunny is often cited by papers focused on Cytokine Signaling Pathways and Interactions (4 papers), Growth Hormone and Insulin-like Growth Factors (3 papers) and PI3K/AKT/mTOR signaling in cancer (2 papers). Kathryn A. Tunny collaborates with scholars based in Australia, United States and Japan. Kathryn A. Tunny's co-authors include Andrew J. Brooks, Michael J. Waters, Yash Chhabra, Rebecca Pelekanos, Megan L. O’Mara, Guillermo A. Gómez, Daniel Abankwa, Michael W. Parker, Olivier Gardon and Wei Dai and has published in prestigious journals such as Science, Hepatology and Oncogene.

In The Last Decade

Kathryn A. Tunny

8 papers receiving 521 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Kathryn A. Tunny Australia	7	211	194	129	115	69	8	528
Chisato Tanaka Japan	12	197 0.9×	177 0.9×	149 1.2×	137 1.2×	47 0.7×	19	637
M. Taton Belgium	10	332 1.6×	270 1.4×	180 1.4×	59 0.5×	65 0.9×	17	635
Eun Suk Hwang South Korea	10	260 1.2×	134 0.7×	213 1.7×	113 1.0×	60 0.9×	11	496
Celina Montemayor United States	13	236 1.1×	157 0.8×	134 1.0×	36 0.3×	157 2.3×	27	558
Daniel Hormaechea‐Agulla Spain	10	222 1.1×	76 0.4×	68 0.5×	94 0.8×	71 1.0×	12	579
Lynett Danks United Kingdom	9	278 1.3×	78 0.4×	166 1.3×	352 3.1×	77 1.1×	9	710
Maria Chiara Anania Italy	12	258 1.2×	90 0.5×	142 1.1×	96 0.8×	108 1.6×	15	558
Carla Visciano Italy	5	195 0.9×	99 0.5×	149 1.2×	212 1.8×	65 0.9×	5	447
Scott S. Strugnell Canada	9	391 1.9×	136 0.7×	115 0.9×	172 1.5×	52 0.8×	12	715
Catherine McCaig United Kingdom	12	367 1.7×	265 1.4×	137 1.1×	54 0.5×	193 2.8×	15	621

Countries citing papers authored by Kathryn A. Tunny

Since Specialization

Citations

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

Fields of papers citing papers by Kathryn A. Tunny

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kathryn A. Tunny

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

All Works

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8 of 8 papers shown

Ishikawa, Mayumi, Andrew J. Brooks, Manuel A. Fernández‐Rojo, et al.. (2020). Growth Hormone Stops Excessive Inflammation After Partial Hepatectomy, Allowing Liver Regeneration and Survival Through Induction of H2‐Bl/HLA‐G. Hepatology. 73(2). 759–775. 26 indexed citations

Angelis, Jessica De, Anne K. Lagendijk, Huijun Chen, et al.. (2017). Tmem2 Regulates Embryonic Vegf Signaling by Controlling Hyaluronic Acid Turnover. Developmental Cell. 40(4). 421–421. 12 indexed citations

Chhabra, Yash, Ho Yi Wong, Andreas Papadopulos, et al.. (2017). A growth hormone receptor SNP promotes lung cancer by impairment of SOCS2-mediated degradation. Oncogene. 37(4). 489–501. 42 indexed citations

Ramnath, Divya, Kathryn A. Tunny, Anne‐Sophie Bergot, et al.. (2015). TLR3 drives IRF6‐dependent IL‐23p19 expression and p19/EBI3 heterodimer formation in keratinocytes. Immunology and Cell Biology. 93(9). 771–779. 44 indexed citations

Brooks, Andrew J., Yash Chhabra, Daniel Abankwa, et al.. (2014). S-7. Cytokine. 70(1). 22–22. 1 indexed citations

Brooks, Andrew J., Wei Dai, Megan L. O’Mara, et al.. (2014). Mechanism of Activation of Protein Kinase JAK2 by the Growth Hormone Receptor. Science. 344(6185). 1249783–1249783. 298 indexed citations

Vickers, Mark H., Susan Gilmour, Arieh Gertler, et al.. (2009). 20-kDa placental hGH-V has diminished diabetogenic and lactogenic activities compared with 22-kDa hGH-N while retaining antilipogenic activity. American Journal of Physiology-Endocrinology and Metabolism. 297(3). E629–E637. 11 indexed citations

Brooks, Andrew J., et al.. (2007). Growth hormone receptor; mechanism of action. The International Journal of Biochemistry & Cell Biology. 40(10). 1984–1989. 94 indexed citations

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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