Lia Luus

954 citations
26 papers · 680 · h-index 10

Impact in

Papers in

    • HER2/EGFR in Cancer Research 7
    • Cancer Immunotherapy and Biomarkers 3
    • Glycosylation and Glycoproteins Research 3
    • Ubiquitin and proteasome pathways 3

Lia Luus

25 papers receiving 661 citations

Peers

Lia Luus
Comparison fields: 5 of 79
  • Radiology, Nuclear Medicine and Imaging 231
  • Oncology 231
  • Organic Chemistry 207
  • Periodontics 18
  • Molecular Biology 259
Replace Elisabeth Miot‐Noirault with:
Elisabeth Miot‐Noirault France
Heidi L. Perez United States
Philippe Auzeloux France
Paul J. Kleindl United States
Curtis Harwig Canada
Chris Leiske United States
Robert Y. Zhao China
Hari Krishna R. Santhapuram United States
Christel Vangestel Belgium
Emma Ito Canada
Lia Luus relative to Elisabeth Miot‐Noirault France Elisabeth Miot‐Noirault's profile →
Citations per field
00.5×6.3×
Elisabeth Miot‐Noirault · 1×
Citations per year

Countries citing papers authored by Lia Luus

Since Specialization
Citations

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

Fields of papers citing papers by Lia Luus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Lia Luus, 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 Lia Luus Line = papers co-authored together Lia Luus links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012235
2 2004170
3 201373
4 200454
5 200331
6 201927
7 201918
8 200413
9 202211
10 202011
11 20106
12 20096
13 20225
14 20045
15 20162
16 20122
17 20192
18 20212
19 20161
20 20161

About Lia Luus

Lia Luus is a scholar working on Oncology, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Immunology and Cellular and Molecular Neuroscience, having authored 26 papers that have together received 680 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (8 papers), HER2/EGFR in Cancer Research (7 papers), Axon Guidance and Neuronal Signaling (5 papers), Immunotherapy and Immune Responses (4 papers), Cell Adhesion Molecules Research (4 papers), Glycosylation and Glycoproteins Research (3 papers), Ubiquitin and proteasome pathways (3 papers) and Cancer Immunotherapy and Biomarkers (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (231 citations), Oncology (231 citations), Organic Chemistry (207 citations), Periodontics (18 citations) and Molecular Biology (259 citations). Lia Luus has collaborated with scholars based in United States, Malaysia and China. Frequent co-authors include Charlotte F. McDonagh, José A. Halperin, Yuhong Guo, Amarnath Natarajan, Hüseyin Aktaş, Arthur J. Kudla, Violette Paragas, Han Chen, Michael Chorev and Ulrik B. Nielsen. Their work appears in journals such as Cancer Research, Molecular Cancer Therapeutics, Journal of Medicinal Chemistry, Nanomedicine Nanotechnology Biology and Medicine and Bioorganic & Medicinal Chemistry Letters.

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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