Danielle M. Lussier

2.1k total citations · 1 hit paper
8 papers, 990 citations indexed

About

Danielle M. Lussier is a scholar working on Oncology, Immunology and Biological Psychiatry. According to data from OpenAlex, Danielle M. Lussier has authored 8 papers receiving a total of 990 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 7 papers in Immunology and 1 paper in Biological Psychiatry. Recurrent topics in Danielle M. Lussier's work include Cancer Immunotherapy and Biomarkers (6 papers), CAR-T cell therapy research (5 papers) and Immunotherapy and Immune Responses (5 papers). Danielle M. Lussier is often cited by papers focused on Cancer Immunotherapy and Biomarkers (6 papers), CAR-T cell therapy research (5 papers) and Immunotherapy and Immune Responses (5 papers). Danielle M. Lussier collaborates with scholars based in United States. Danielle M. Lussier's co-authors include Elise Alspach, Robert D. Schreiber, Joseph N. Blattman, Pooja Hingorani, John L. Johnson, Adrienne C. Scheck, Eric C. Woolf, Megan S. McAfee, Paul S. Dickman and Jeffrey Jacobsen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Cold Spring Harbor Perspectives in Biology and BMC Cancer.

In The Last Decade

Danielle M. Lussier

8 papers receiving 983 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Interferon γ and Its Important Roles in Promoting and Inhibiting Spontaneous and Therapeutic Cancer Immunity

2018 386 citations Elise Alspach, Danielle M. Lussier et al. Cold Spring Harbor Perspectives in Biology profile →

Peers

Danielle M. Lussier

ONCOL

IMMUN

MB

PRM

CR

Cristina Belgiovine Italy

H. Mytrang United States

Chunling Ma China

Yann Godet France

Chun Chou United States

Hannah M. Knochelmann United States

Yongpeng Gu United States

Amy-Jo Casbon United States

Olatz Zenarruzabeitia Spain

Cristina Belgiovine Italy

Danielle M. Lussier

401 ×0.8

ONCOL

392 ×0.8

IMMUN

447 ×1.6

MB

131 ×0.7

PRM

149 ×0.9

CR

Citations per year, relative to Danielle M. Lussier Danielle M. Lussier (= 1×) peers Cristina Belgiovine

Countries citing papers authored by Danielle M. Lussier

Since Specialization

Citations

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

Fields of papers citing papers by Danielle M. Lussier

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danielle M. Lussier. 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 Danielle M. Lussier. The network helps show where Danielle M. Lussier may publish in the future.

Co-authorship network of co-authors of Danielle M. Lussier

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

All Works

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8 of 8 papers shown

1.

Lussier, Danielle M., Elise Alspach, Jeffrey P. Ward, et al.. (2021). Radiation-induced neoantigens broaden the immunotherapeutic window of cancers with low mutational loads. Proceedings of the National Academy of Sciences. 118(24). 93 indexed citations

2.

Alspach, Elise, Danielle M. Lussier, & Robert D. Schreiber. (2018). Interferon γ and Its Important Roles in Promoting and Inhibiting Spontaneous and Therapeutic Cancer Immunity. Cold Spring Harbor Perspectives in Biology. 11(3). a028480–a028480. 386 indexed citations breakdown →

3.

Lussier, Danielle M., et al.. (2016). Enhanced immunity in a mouse model of malignant glioma is mediated by a therapeutic ketogenic diet. BMC Cancer. 16(1). 310–310. 128 indexed citations

4.

Appel, Nicole, et al.. (2016). Progress and Opportunities for Immune Therapeutics in Osteosarcoma. Immunotherapy. 8(10). 1233–1244. 44 indexed citations

5.

Lussier, Danielle M., Megan S. McAfee, Susan Holechek, et al.. (2015). Enhanced T-Cell Immunity to Osteosarcoma Through Antibody Blockade of PD-1/PD-L1 Interactions. Journal of Immunotherapy. 38(3). 96–106. 165 indexed citations

6.

Lussier, Danielle M., John L. Johnson, Pooja Hingorani, & Joseph N. Blattman. (2015). Combination immunotherapy with α-CTLA-4 and α-PD-L1 antibody blockade prevents immune escape and leads to complete control of metastatic osteosarcoma. Journal for ImmunoTherapy of Cancer. 3(1). 21–21. 171 indexed citations

7.

Lussier, Danielle M., John L. Johnson, Pooja Hingorani, & Joseph N. Blattman. (2015). Abstract A07: Combining CTLA4 and PD-L1 blockade leads to complete eradication of metastatic osteosarcoma. Cancer Immunology Research. 3(10_Supplement). A07–A07. 1 indexed citations

8.

Lussier, Danielle M., et al.. (2013). Enhancement of T cell immunity to osteosarcoma through modulation of PD-1/PD-L1 interactions. Journal for ImmunoTherapy of Cancer. 1(S1). 2 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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