Suzan Lazo

4.0k total citations · 2 hit papers
6 papers, 903 citations indexed

About

Suzan Lazo is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Suzan Lazo has authored 6 papers receiving a total of 903 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Immunology, 3 papers in Molecular Biology and 3 papers in Oncology. Recurrent topics in Suzan Lazo's work include T-cell and B-cell Immunology (2 papers), Immune Cell Function and Interaction (2 papers) and Acute Myeloid Leukemia Research (1 paper). Suzan Lazo is often cited by papers focused on T-cell and B-cell Immunology (2 papers), Immune Cell Function and Interaction (2 papers) and Acute Myeloid Leukemia Research (1 paper). Suzan Lazo collaborates with scholars based in United States and Switzerland. Suzan Lazo's co-authors include Roderick T. Bronson, Mercedes Lobera, Holly Ponichtera, Sara Schad, Anthony Letai, Jessica A. Castrillon, Scott Davis, Shawn F. Johnson, Alexandra L. Pourzia and Jennifer L. Guerriero and has published in prestigious journals such as Nature, Journal of Clinical Investigation and Cell Reports.

In The Last Decade

Suzan Lazo

5 papers receiving 894 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.

Class IIa HDAC inhibition reduces breast tumours and metastases through anti-tumour macrophages

2017 432 citations Jennifer L. Guerriero, Alaba Sotayo et al. Nature profile →
PARP Inhibition Elicits STING-Dependent Antitumor Immunity in Brca1-Deficient Ovarian Cancer

2018 395 citations Liya Ding, Hye‐Jung Kim et al. Cell Reports profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Suzan Lazo United States	5	526	487	375	68	63	6	903
Jessica A. Castrillon United States	4	531 1.0×	518 1.1×	438 1.2×	90 1.3×	80 1.3×	7	957
Chiara Massa Germany	16	379 0.7×	291 0.6×	325 0.9×	141 2.1×	72 1.1×	42	733
Tomáš Brtnický Czechia	8	485 0.9×	364 0.7×	145 0.4×	49 0.7×	57 0.9×	13	688
Akira Yuno United States	16	383 0.7×	411 0.8×	459 1.2×	66 1.0×	71 1.1×	29	844
Greg Motz United States	5	653 1.2×	590 1.2×	232 0.6×	70 1.0×	92 1.5×	10	947
Amelia M. Huehls United States	10	166 0.3×	488 1.0×	395 1.1×	47 0.7×	35 0.6×	15	704
Margaux Vienne France	7	773 1.5×	417 0.9×	191 0.5×	84 1.2×	51 0.8×	9	985
Iñigo Terrén Spain	14	594 1.1×	289 0.6×	167 0.4×	115 1.7×	53 0.8×	25	816
Ane Orrantia Spain	14	570 1.1×	284 0.6×	180 0.5×	115 1.7×	52 0.8×	24	811
Jens Pahl Germany	12	565 1.1×	418 0.9×	187 0.5×	90 1.3×	71 1.1×	20	794

Countries citing papers authored by Suzan Lazo

Since Specialization

Citations

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

Fields of papers citing papers by Suzan Lazo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suzan Lazo

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

All Works

Sort: Min cites: Since: Top N: Style:

6 of 6 papers shown

1.

Bae, Jooeun, Kristen Cowens, Alec C. Kimmelman, et al.. (2023). OP01-5 Combination immunotherapy targeting XBP1, CD138 and CS1 with cancer vaccine, checkpoint inhibitors, immune modulator, and epigenetic regulator to treat patients with myeloma or solid tumours: Clinical applications. ESMO Open. 8(1). 102126–102126.

2.

Ding, Liya, Hye‐Jung Kim, Qiwei Wang, et al.. (2018). PARP Inhibition Elicits STING-Dependent Antitumor Immunity in Brca1-Deficient Ovarian Cancer. Cell Reports. 25(11). 2972–2980.e5. 395 indexed citations breakdown →

3.

Cunningham, Amy, et al.. (2017). Development of an 8-color antibody panel for functional phenotyping of human CD8+ cytotoxic T cells from peripheral blood mononuclear cells. Cytotechnology. 70(1). 1–11. 16 indexed citations

4.

Guerriero, Jennifer L., Alaba Sotayo, Holly Ponichtera, et al.. (2017). Class IIa HDAC inhibition reduces breast tumours and metastases through anti-tumour macrophages. Nature. 543(7645). 428–432. 432 indexed citations breakdown →

5.

Weisberg, Ellen, Alexandre Puissant, Richard M. Stone, et al.. (2017). Characterization of midostaurin as a dual inhibitor of FLT3 and SYK and potentiation of FLT3 inhibition against FLT3-ITD-driven leukemia harboring activated SYK kinase. Oncotarget. 8(32). 52026–52044. 21 indexed citations

6.

Gollob, Jared, Enrica Orsini, Emma Murphy, et al.. (1998). Characterization of a novel subset of CD8(+) T cells that expands in patients receiving interleukin-12.. Journal of Clinical Investigation. 102(3). 561–575. 39 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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