Emma V. King

4.1k citations
52 papers · 2.0k indexed · 1 hit paper · h-index 18
Topics
Cancer Immunotherapy and Biomarkers (13 papers)Head and Neck Cancer Studies (12 papers)Immunotherapy and Immune Responses (4 papers)
Journals
Nature CommunicationsJournal of Clinical OncologySHILAP Revista de lepidopterología

In The Last Decade

Emma V. King

49 papers receiving 1.9k citations

Hit Papers

Tissue-resident memory features are linked to the magnitu...20172026202020232017100200300

Peers

Emma V. King
Comparison fields: 5 of 118
  • Oncology 954
  • Immunology 694
  • Molecular Biology 467
  • Otorhinolaryngology 341
  • Cancer Research 320
Replace Dan P. Zandberg with:
Dan P. Zandberg United States
Peter Oppelt United States
Paul Swiecicki United States
Giovana R. Thomas United States
Adam Luginbuhl United States
Donald T. Weed United States
Y. M. Dennis Lo Hong Kong
David M. Neskey United States
Leslie Popplewell United States
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Emma V. King relative to Dan P. Zandberg United States Dan P. Zandberg's profile →
Citations per field
00.5×1.5×
Dan P. Zandberg · 1×
Citations per year

Countries citing papers authored by Emma V. King

Since Specialization
Citations

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

Fields of papers citing papers by Emma V. King

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emma V. King. 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 Emma V. King. The network helps show where Emma V. King may publish in the future.

Co-authorship network of co-authors of Emma V. King

This figure shows the co-authorship network connecting the top 25 collaborators of Emma V. King. A scholar is included among the top collaborators of Emma V. King 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 Emma V. King. Emma V. King 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 1
3 2
4 2
5 0
6 0
7 14
8 8
9 29
10 30
11 20
12 26
13 106
14 16
15 195
16 16
17
Tissue-resident memory features are linked to the magnitude of cytotoxic T cell responses in human lung cancerbreakdown →
380
18 90
19 1
20 14

About Emma V. King

Emma V. King is a scholar working on Otorhinolaryngology, Oncology and Cancer Research, having authored 52 papers that have together received 2.0k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (13 papers), Head and Neck Cancer Studies (12 papers) and Immunotherapy and Immune Responses (4 papers). The work is most often cited by research in Otorhinolaryngology (341 citations), Oncology (954 citations) and Immunology (694 citations). Emma V. King has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Gareth J. Thomas, Christian H. Ottensmeier, Toby Mellows, Pandurangan Vijayanand, Matthew J. Ward, Oliver Wood, Grégory Seumois, Tilman Sánchez-Elsner, Eva M. Garrido‐Martín and James Clarke. Their work appears in journals such as Nature Communications, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

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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