Nicole M. McLaughlin

3.6k citations
12 papers · 1.5k indexed · 1 hit paper · h-index 12
Topics
CAR-T cell therapy research (6 papers)Immune Cell Function and Interaction (6 papers)T-cell and B-cell Immunology (5 papers)

In The Last Decade

Nicole M. McLaughlin

12 papers receiving 1.5k citations

Hit Papers

Anti-CD73 antibody therapy inhibits breast tumor growth a...20102026201520202010100200300400

Peers

Nicole M. McLaughlin
Comparison fields: 5 of 72
  • Immunology 925
  • Oncology 779
  • Physiology 325
  • Molecular Biology 318
  • Epidemiology 82
Replace Kimberley Stannard with:
Kimberley Stannard Australia
Swetha Anandhan United States
B. Rhodes Ford United States
David Woods United States
Maxim Markovic United States
Nan Ring United States
Ilenia Pellicciotta United States
McLane J. Watson United States
Danielle Ulanet United States
Anna Passarelli Italy
Nicole M. McLaughlin relative to Kimberley Stannard Australia Kimberley Stannard's profile →
Citations per field
00.5×1.5×1.8×
Kimberley Stannard · 1×
Citations per year

Countries citing papers authored by Nicole M. McLaughlin

Since Specialization
Citations

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

Fields of papers citing papers by Nicole M. McLaughlin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nicole M. McLaughlin. 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 Nicole M. McLaughlin. The network helps show where Nicole M. McLaughlin may publish in the future.

Co-authorship network of co-authors of Nicole M. McLaughlin

This figure shows the co-authorship network connecting the top 25 collaborators of Nicole M. McLaughlin. A scholar is included among the top collaborators of Nicole M. McLaughlin 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 Nicole M. McLaughlin. Nicole M. McLaughlin 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
1 222
2 88
3 108
4 149
5 58
6 113
7 43
8
Anti-CD73 antibody therapy inhibits breast tumor growth and metastasisbreakdown →
479
9 20
10 15
11 156
12 21

About Nicole M. McLaughlin

Nicole M. McLaughlin is a scholar working on Immunology, Transplantation and Oncology, having authored 12 papers that have together received 1.5k indexed citations. Recurring topics across this work include CAR-T cell therapy research (6 papers), Immune Cell Function and Interaction (6 papers) and T-cell and B-cell Immunology (5 papers). The work is most often cited by research in Physiology (325 citations), Immunology (925 citations) and Oncology (779 citations). Nicole M. McLaughlin has collaborated with scholars based in Australia, United States and Japan. Frequent co-authors include Mark J. Smyth, Janelle Sharkey, Delphine Denoyer, Upulie Divisekera, Sandra Pommey, Karen M. Dwyer, John Stagg, Michele W.L. Teng, Hideo Yagita∥ and Bianca von Scheidt. Their work appears in journals such as Proceedings of the National Academy of Sciences, Blood and The Journal of Immunology.

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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