Pamela M.J. McLaughlin

1.1k citations
22 papers · 893 indexed · h-index 14
Topics
Monoclonal and Polyclonal Antibodies Research (4 papers)Glycosylation and Glycoproteins Research (3 papers)Virus-based gene therapy research (3 papers)

In The Last Decade

Pamela M.J. McLaughlin

22 papers receiving 874 citations

Peers

Pamela M.J. McLaughlin
Comparison fields: 5 of 103
  • Molecular Biology 456
  • Oncology 348
  • Immunology 212
  • Cancer Research 116
  • Radiology, Nuclear Medicine and Imaging 97
Replace Stephan Herbertz with:
Stephan Herbertz Germany
Kenneth C. Valkenburg United States
Andrew D. Simmons United States
Kazuo Yasumoto Japan
Samir Tawadros Germany
Bernardina T.F. van der Gun Netherlands
Nuran Bektas Germany
Tomoki Yamano Japan
Carl Power Australia
D Bautista Canada
Pamela M.J. McLaughlin relative to Stephan Herbertz Germany Stephan Herbertz's profile →
Citations per field
00.5×3.6×
Stephan Herbertz · 1×
Citations per year

Countries citing papers authored by Pamela M.J. McLaughlin

Since Specialization
Citations

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

Fields of papers citing papers by Pamela M.J. McLaughlin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pamela M.J. McLaughlin

This figure shows the co-authorship network connecting the top 25 collaborators of Pamela M.J. McLaughlin. A scholar is included among the top collaborators of Pamela M.J. 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 Pamela M.J. McLaughlin. Pamela M.J. McLaughlin 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 13
2 40
3 5
4 20
5 463
6 21
7 21
8 14
9 33
10 12
11 41
12 23
13 5
14 18
15 4
16 11
17
The epithelial glycoprotein 2 (EGP-2) promoter-driven epithelial-specific expression of EGP-2 in transgenic mice: a new model to study carcinoma-directed immunotherapy.
53
18 45
19 9
20 19

About Pamela M.J. McLaughlin

Pamela M.J. McLaughlin is a scholar working on Oncology, Molecular Biology and Genetics, having authored 22 papers that have together received 893 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (4 papers), Glycosylation and Glycoproteins Research (3 papers) and Virus-based gene therapy research (3 papers). The work is most often cited by research in Oncology (348 citations), Immunology (212 citations) and Cancer Research (116 citations). Pamela M.J. McLaughlin has collaborated with scholars based in Netherlands, Germany and United States. Frequent co-authors include Martin C. Harmsen, Monika Trzpis, Marcel H.J. Ruiters, Lou F. M. H. de Leij, Bart‐Jan Kroesen, Charles H.C.M. Buys, Bernardina T.F. van der Gun, Wim H.A. Dokter, Wijnand Helfrich and Johannes W. A. Smit. Their work appears in journals such as The Journal of Immunology, Journal of Controlled Release and American Journal Of Pathology.

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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