Caroline Chapman

5.0k citations
99 papers · 3.9k · h-index 35

Impact in

Papers in

Caroline Chapman

97 papers receiving 3.8k citations

Peers

Caroline Chapman
Comparison fields: 5 of 108
  • Immunology 1.2k
  • Radiology, Nuclear Medicine and Imaging 1.2k
  • Oncology 913
  • Immunology and Allergy 135
  • Genetics 218
Replace Takuya Osada with:
Takuya Osada United States
Hans‐Martin Jäck Germany
Walter P. Carney United States
James L. Murray United States
Joseph P. Balthasar United States
Joanne Yu Canada
Salvatore Venuta Italy
Patrizia Nanni Italy
Karen S. Anderson United States
Carla De Giovanni Italy
Caroline Chapman relative to Takuya Osada United States Takuya Osada's profile →
Citations per field
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Takuya Osada · 1×
Citations per year

Countries citing papers authored by Caroline Chapman

Since Specialization
Citations

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

Fields of papers citing papers by Caroline Chapman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Caroline Chapman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Caroline Chapman Line = papers co-authored together Caroline Chapman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 99 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007218
2 2007185
3 2008182
4 2010181
5 2003173
6 2012156
7 2008119
8 2011118
9 2017109
10 1998107
11 199396
12 201587
13 201082
14 201881
15 199181
16 199371
17 200970
18 200768
19 200068
20 199365

About Caroline Chapman

Caroline Chapman is a scholar working on Radiology, Nuclear Medicine and Imaging, Immunology, Oncology, Molecular Biology and Epidemiology, having authored 99 papers that have together received 3.9k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (39 papers), Immunotherapy and Immune Responses (19 papers), T-cell and B-cell Immunology (18 papers), Glycosylation and Glycoproteins Research (15 papers), Colorectal Cancer Screening and Detection (9 papers), Immune Cell Function and Interaction (8 papers), Lung Cancer Research Studies (7 papers) and Cancer Immunotherapy and Biomarkers (5 papers). The work is most often cited by research in Immunology (1.2k citations), Radiology, Nuclear Medicine and Imaging (1.2k citations), Oncology (913 citations), Immunology and Allergy (135 citations) and Genetics (218 citations). Caroline Chapman has collaborated with scholars based in United Kingdom, United States and Malaysia. Frequent co-authors include Freda K. Stevenson, J.F.R. Robertson, Alan Murray, Paul Maddison, Celine B. Parsy-Kowalska, John F. R. Robertson, Myfanwy B. Spellerberg, Graham Healey, Andrea Murray and Uğur Şahin. Their work appears in journals such as PLoS ONE, The Journal of Immunology, Radiotherapy and Oncology, CHEST Journal and Human Antibodies.

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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