A. Lagarde

17 papers receiving 684 citations

Peers

A. Lagarde
Comparison fields: 5 of 74
  • Cancer Research 201
  • Oncology 273
  • Biotechnology 77
  • Immunology 167
  • Radiology, Nuclear Medicine and Imaging 149
Replace Lakshmi Charan Padhy with:
Lakshmi Charan Padhy India
Nelson Ellmore United States
Jan Žaloudík Czechia
Y H Xu United States
John Doll United States
Jadranka Jambrosic United States
David F. Siwarski United States
A Houghton United States
Daniel Maier Switzerland
Jamie K. Miller United States
A. Lagarde relative to Lakshmi Charan Padhy India Lakshmi Charan Padhy's profile →
Citations per field
00.5×1.7×
Lakshmi Charan Padhy · 1×
Citations per year

Countries citing papers authored by A. Lagarde

Since Specialization
Citations

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

Fields of papers citing papers by A. Lagarde

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 1982143
2 1988137
3 1983126
4
Genetic evidence for progressive selection and overgrowth of primary tumors by metastatic cell subpopulations.
198893
5
Clonal dominance of primary tumours by metastatic cells: genetic analysis and biological implications.
198890
6 198834
7 198333
8 197226
9 198525
10 198620
11 19779
12 20189
13 20029
14 19869
15
Genetics of hereditary colon cancer: a model for prevention.
19984
16 20162
17
[Stimulation of adenyl-cyclase in lysates of human circulating lymphocytes under the influence of phytohemagglutinin or antilymphocyte serum].
19701

About A. Lagarde

A. Lagarde is a scholar working on Biotechnology, Cancer Research, Oncology, Genetics and Immunology, having authored 17 papers that have together received 770 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (3 papers), Cancer Research and Treatments (3 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Cancer Cells and Metastasis (2 papers), Virus-based gene therapy research (2 papers), BRCA gene mutations in cancer (2 papers), Glycosylation and Glycoproteins Research (1 paper) and Lichen and fungal ecology (1 paper). The work is most often cited by research in Cancer Research (201 citations), Oncology (273 citations), Biotechnology (77 citations), Immunology (167 citations) and Radiology, Nuclear Medicine and Imaging (149 citations). A. Lagarde has collaborated with scholars based in Canada, France and United Kingdom. Frequent co-authors include Robert S. Kerbel, John Roder, Danuta Kozbor, Jacques Pouysségur, Klaus Seuwen, James W. Dennis, T. P. Donaghue, Carol G. Waghorne, Michaël Thomas and Martin L. Breitman. Their work appears in journals such as JNCI Journal of the National Cancer Institute, Planta Medica, Molecular and Cellular Biology, Biochemical Journal and Biochimica et Biophysica Acta (BBA) - Reviews on Cancer.

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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