Lanie E. Happ

1.2k total citations
9 papers, 41 citations indexed

About

Lanie E. Happ is a scholar working on Pathology and Forensic Medicine, Molecular Biology and Oncology. According to data from OpenAlex, Lanie E. Happ has authored 9 papers receiving a total of 41 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pathology and Forensic Medicine, 4 papers in Molecular Biology and 4 papers in Oncology. Recurrent topics in Lanie E. Happ's work include Lymphoma Diagnosis and Treatment (8 papers), Viral-associated cancers and disorders (2 papers) and CAR-T cell therapy research (2 papers). Lanie E. Happ is often cited by papers focused on Lymphoma Diagnosis and Treatment (8 papers), Viral-associated cancers and disorders (2 papers) and CAR-T cell therapy research (2 papers). Lanie E. Happ collaborates with scholars based in United States, United Kingdom and Germany. Lanie E. Happ's co-authors include Sandeep S. Davé, Cassandra Love, Anupama Reddy, Izidore S. Lossos, Jennifer R. Chapman, Mohit Sachdeva, Nitin Agarwal, Kranthi Kunkalla, Xiaoqing Lu and Wesley Huang and has published in prestigious journals such as Journal of Clinical Oncology, Blood and American Journal of Clinical Pathology.

In The Last Decade

Lanie E. Happ

9 papers receiving 41 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lanie E. Happ United States 4 19 17 12 9 9 9 41
Joe Sneath Thompson United Kingdom 2 19 1.0× 36 2.1× 14 1.2× 8 0.9× 12 1.3× 3 48
Yuka Iijima‐Yamashita Japan 5 15 0.8× 24 1.4× 8 0.7× 22 2.4× 6 0.7× 10 58
Anna Alperovich United States 4 19 1.0× 27 1.6× 7 0.6× 7 0.8× 16 1.8× 10 42
Susie Brain United States 4 23 1.2× 34 2.0× 11 0.9× 13 1.4× 22 2.4× 12 57
Briana M. Hudson United States 3 22 1.2× 8 0.5× 7 0.6× 12 1.3× 6 0.7× 3 34
Katya Ahr United States 3 20 1.1× 29 1.7× 6 0.5× 18 2.0× 16 1.8× 4 45
Noel Laudi United States 4 43 2.3× 36 2.1× 13 1.1× 7 0.8× 14 1.6× 6 56
Maarja‐Liisa Nairismägi Singapore 4 28 1.5× 26 1.5× 18 1.5× 25 2.8× 4 0.4× 7 57
Jaap A. van Doesum Netherlands 6 46 2.4× 23 1.4× 10 0.8× 10 1.1× 5 0.6× 11 63
Kathleen Stabla Germany 5 19 1.0× 13 0.8× 15 1.3× 30 3.3× 9 1.0× 6 76

Countries citing papers authored by Lanie E. Happ

Since Specialization
Citations

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

Fields of papers citing papers by Lanie E. Happ

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lanie E. Happ. 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 Lanie E. Happ. The network helps show where Lanie E. Happ may publish in the future.

Co-authorship network of co-authors of Lanie E. Happ

This figure shows the co-authorship network connecting the top 25 collaborators of Lanie E. Happ. A scholar is included among the top collaborators of Lanie E. Happ 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 Lanie E. Happ. Lanie E. Happ 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
1.
Duffield, Amy S., Ahmet Doǧan, Catalina Amador, et al.. (2023). Progression of follicular lymphoma and related entities: Report from the 2021 SH/EAHP Workshop. American Journal of Clinical Pathology. 159(6). 572–597. 3 indexed citations
2.
Goodlad, John R., Wenbin Xiao, Catalina Amador, et al.. (2023). Phenotypic and genotypic infidelity in B-lineage neoplasms, including transdifferentiation following targeted therapy: Report from the 2021 SH/EAHP Workshop. American Journal of Clinical Pathology. 159(6). 538–553. 3 indexed citations
3.
O’Neill, Stacey S., Eric D. Hsi, Magdalena Czader, et al.. (2022). Development and validation of Duoseq as a novel diagnostic and companion assay for lymphoma and other cancers.. Journal of Clinical Oncology. 40(16_suppl). 3074–3074. 1 indexed citations
4.
Zhou, Jianli, Cassandra Love, Lanie E. Happ, et al.. (2022). Development of a Potent DNA Damaging Agent LP-284 for Treatment of Mantle Cell Lymphoma. Blood. 140(Supplement 1). 4940–4941. 2 indexed citations
5.
Magistri, Marco, Lanie E. Happ, Jeremy Ramdial, et al.. (2021). The Genetic Landscape of Ocular Adnexa MALT Lymphoma Reveals Frequent Aberrations in NFAT and MEF2B Signaling Pathways. Cancer Research Communications. 1(1). 1–16. 8 indexed citations
6.
Davé, Sandeep S., Lanie E. Happ, Gilles Salles, et al.. (2021). Molecular and Genetic Characterization of Tumor Samples from Patients with Relapsed or Refractory Follicular Lymphoma Identifies Factors Influencing Response to Tazemetostat. Blood. 138(Supplement 1). 1183–1183. 1 indexed citations
7.
Wang, Jie, Tushar Dave, Nicholas S. Davis, et al.. (2020). Non-Hodgkin Lymphomas: Malignancies Arising from Mature B Cells. Cold Spring Harbor Perspectives in Medicine. 11(3). a034843–a034843. 10 indexed citations
8.
Mater, David Van, Eric S. Xu, Anupama Reddy, et al.. (2018). Injury promotes sarcoma development in a genetically and temporally restricted manner. JCI Insight. 3(20). 10 indexed citations
9.
Davis, Nicholas S., Matthew McKinney, Anupama Reddy, et al.. (2018). Novel Mechanisms for Resistance to Targeted Therapy Identified through Machine Learning Approaches in 1167 RNA-Seq Drug Exposure Profiles in Lymphoma. Blood. 132(Supplement 1). 1370–1370. 3 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026