Kelly-Ann Sheppard

3.6k citations
17 papers · 3.0k indexed · 1 hit paper · h-index 15
Topics
Cancer-related Molecular Pathways (5 papers)TGF-β signaling in diseases (3 papers)Ubiquitin and proteasome pathways (3 papers)

In The Last Decade

Kelly-Ann Sheppard

17 papers receiving 3.0k citations

Hit Papers

PD‐1 inhibits T‐cell receptor induced phosphorylation of ...20042026201120182004200400600

Peers

Kelly-Ann Sheppard
Comparison fields: 5 of 91
  • Molecular Biology 1.7k
  • Oncology 1.2k
  • Immunology 958
  • Cancer Research 514
  • Genetics 338
Replace Gianna Baroni with:
Gianna Baroni Italy
Linda E. Greenbaum United States
Giovanna Tabellini Italy
Akihiko Muto Japan
Miguel A. Vega Spain
Francesca Bernassola Italy
Marie–Christine Rio France
Masahiro Aoki Japan
Peter S. Rabinovitch United States
Takayuki Hoshii Japan
Kelly-Ann Sheppard relative to Gianna Baroni Italy Gianna Baroni's profile →
Citations per field
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Citations per year

Countries citing papers authored by Kelly-Ann Sheppard

Since Specialization
Citations

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

Fields of papers citing papers by Kelly-Ann Sheppard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kelly-Ann Sheppard. 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 Kelly-Ann Sheppard. The network helps show where Kelly-Ann Sheppard may publish in the future.

Co-authorship network of co-authors of Kelly-Ann Sheppard

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

All Works

17 of 17 papers shown
#WorkIndexed citations
1 160
2 56
3 196
4 232
5 4
6 257
7 78
8
PD‐1 inhibits T‐cell receptor induced phosphorylation of the ZAP70/CD3ζ signalosome and downstream signaling to PKCθbreakdown →
631
9 379
10 243
11 128
12 80
13 250
14 34
15 39
16 10
17 247

About Kelly-Ann Sheppard

Kelly-Ann Sheppard is a scholar working on Cancer Research, Oncology and Ophthalmology, having authored 17 papers that have together received 3.0k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (5 papers), TGF-β signaling in diseases (3 papers) and Ubiquitin and proteasome pathways (3 papers). The work is most often cited by research in Immunology (958 citations), Oncology (1.2k citations) and Cancer Research (514 citations). Kelly-Ann Sheppard has collaborated with scholars based in United States, Netherlands and China. Frequent co-authors include Charles N. Serhan, Amy S. Yee, Christopher K. Glass, Michael G. Rosenfeld, Tucker Collins, Dimitris Thanos, Min Xu, Cheng‐Yuan Peng, Helen Piwnica‐Worms and Lori Fitz. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Nature Communications.

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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