Anne Lamontagne

2.2k total citations
9 papers, 256 citations indexed

About

Anne Lamontagne is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Anne Lamontagne has authored 9 papers receiving a total of 256 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Oncology and 4 papers in Immunology. Recurrent topics in Anne Lamontagne's work include CAR-T cell therapy research (3 papers), Glycosylation and Glycoproteins Research (2 papers) and Biomedical and Engineering Education (2 papers). Anne Lamontagne is often cited by papers focused on CAR-T cell therapy research (3 papers), Glycosylation and Glycoproteins Research (2 papers) and Biomedical and Engineering Education (2 papers). Anne Lamontagne collaborates with scholars based in United States and Belgium. Anne Lamontagne's co-authors include Zafar K. Khan, Divya Sagar, Pooja Jain, Martin G. Pomper, Catherine A. Foss, Anand S. Mehta, Mary Ann Comunale, Julie Hafner, Timothy M. Block and Adrian M. Di Bisceglie and has published in prestigious journals such as Blood, PLoS ONE and Biochemical and Biophysical Research Communications.

In The Last Decade

Anne Lamontagne

8 papers receiving 253 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Anne Lamontagne United States 5 101 90 84 40 37 9 256
Jeegar Patel United States 9 147 1.5× 117 1.3× 130 1.5× 31 0.8× 68 1.8× 25 426
Nhan Nguyen United States 11 244 2.4× 80 0.9× 184 2.2× 19 0.5× 18 0.5× 15 439
Jose L. Gallardo United States 4 159 1.6× 221 2.5× 39 0.5× 152 3.8× 19 0.5× 5 412
Dorine Wouters Netherlands 9 122 1.2× 111 1.2× 105 1.3× 18 0.5× 15 0.4× 9 377
Shashi Jatiani United States 8 159 1.6× 169 1.9× 64 0.8× 95 2.4× 11 0.3× 13 382
Hun-Taek Kim United States 5 162 1.6× 129 1.4× 25 0.3× 34 0.8× 21 0.6× 6 340
Michael C. Zahner United States 7 79 0.8× 102 1.1× 143 1.7× 30 0.8× 17 0.5× 8 302
Cho-Hwa Liao Taiwan 3 122 1.2× 176 2.0× 186 2.2× 18 0.5× 11 0.3× 5 392
Sue Ellen Verbrugge Netherlands 7 237 2.3× 159 1.8× 78 0.9× 32 0.8× 5 0.1× 13 426
Naiyou Liu United States 5 122 1.2× 80 0.9× 187 2.2× 51 1.3× 24 0.6× 9 357

Countries citing papers authored by Anne Lamontagne

Since Specialization
Citations

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

Fields of papers citing papers by Anne Lamontagne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anne Lamontagne

This figure shows the co-authorship network connecting the top 25 collaborators of Anne Lamontagne. A scholar is included among the top collaborators of Anne Lamontagne 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 Anne Lamontagne. Anne Lamontagne is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
2.
Lamontagne, Anne & Andrew D. Fesnak. (2020). Limiting variability to achieve reproducibility in cell manufacturing. Cell and Gene Therapy Insights. 6(10). 157–1363. 3 indexed citations
3.
Lamontagne, Anne, Theresa A. Colligon, Camillo J. Taylor, et al.. (2020). Maintaining excellence in a high volume academic cell therapy production facility through optimization of space utilization, operations, scheduling and staffing. Cytotherapy. 22(5). S149–S150. 1 indexed citations
4.
Xu, Jun, Mercy Gohil, Edward A. Stadtmauer, et al.. (2020). Characterization of autologous T cells engineered to express NY-ESO-1 TCR with multiplexed CRISPR/Cas9 editing (NYCE T Cells). Cytotherapy. 22(5). S35–S36. 2 indexed citations
5.
Gill, Saar, Noelle V. Frey, Elizabeth O. Hexner, et al.. (2018). Prospective Clinical Trial of Anti-CD19 CAR T Cells in Combination with Ibrutinib for the Treatment of Chronic Lymphocytic Leukemia Shows a High Response Rate. Blood. 132(Supplement 1). 298–298. 72 indexed citations
6.
Lamontagne, Anne, Ronald E. Long, Mary Ann Comunale, et al.. (2013). Altered Functionality of Anti-Bacterial Antibodies in Patients with Chronic Hepatitis C Virus Infection. PLoS ONE. 8(6). e64992–e64992. 20 indexed citations
7.
Sagar, Divya, Anne Lamontagne, Catherine A. Foss, et al.. (2012). Dendritic cell CNS recruitment correlates with disease severity in EAE via CCL2 chemotaxis at the blood–brain barrier through paracellular transmigration and ERK activation. Journal of Neuroinflammation. 9(1). 245–245. 84 indexed citations
8.
Comunale, Mary Ann, Mengjun Wang, Julie Hafner, et al.. (2011). Novel Changes in Glycosylation of Serum Apo-J in Patients with Hepatocellular Carcinoma. Cancer Epidemiology Biomarkers & Prevention. 20(6). 1222–1229. 36 indexed citations
9.
Romano, Patrick R., Andrew R. Mackay, J. A. Erwin Desa, et al.. (2011). Development of recombinant Aleuria aurantia lectins with altered binding specificities to fucosylated glycans. Biochemical and Biophysical Research Communications. 414(1). 84–89. 38 indexed citations

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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