Liora M. Schultz

142 total papers · 4.4k total citations
38 papers, 446 citations indexed

About

Liora M. Schultz is a scholar working on Oncology, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Liora M. Schultz has authored 38 papers receiving a total of 446 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Oncology, 8 papers in Molecular Biology and 8 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Liora M. Schultz's work include CAR-T cell therapy research (31 papers), Acute Lymphoblastic Leukemia research (8 papers) and Viral Infectious Diseases and Gene Expression in Insects (6 papers). Liora M. Schultz is often cited by papers focused on CAR-T cell therapy research (31 papers), Acute Lymphoblastic Leukemia research (8 papers) and Viral Infectious Diseases and Gene Expression in Insects (6 papers). Liora M. Schultz collaborates with scholars based in United States, Israel and Canada. Liora M. Schultz's co-authors include Holbrook E. Kohrt, Roch Houot, Aurélien Marabelle, Crystal L. Mackall, Rebecca Gardner, Kara L. Davis, Ronald Levy, Debra K. Czerwinski, Crystal L. Mackall and Everett Meyer and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Blood.

In The Last Decade

Liora M. Schultz

30 papers receiving 432 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Liora M. Schultz	341	201	131	77	73	38	446
Mingzhi Zhang	330 1.0×	163 0.8×	108 0.8×	78 1.0×	78 1.1×	19	423
Yvette Bernal	374 1.1×	135 0.7×	141 1.1×	117 1.5×	67 0.9×	22	458
Martín Bonamino	232 0.7×	168 0.8×	139 1.1×	74 1.0×	32 0.4×	27	456
Jiazhen Cui	294 0.9×	115 0.6×	135 1.0×	76 1.0×	78 1.1×	38	402
Florence Morin	229 0.7×	171 0.9×	99 0.8×	66 0.9×	35 0.5×	25	488
Xinjie Xu	285 0.8×	98 0.5×	159 1.2×	117 1.5×	67 0.9×	35	478
Gangli An	332 1.0×	255 1.3×	136 1.0×	57 0.7×	56 0.8×	24	486
Paul Castillo	328 1.0×	152 0.8×	128 1.0×	100 1.3×	129 1.8×	33	454
Jessica Foster	212 0.6×	87 0.4×	178 1.4×	94 1.2×	67 0.9×	25	437
Chunrong Tong	332 1.0×	113 0.6×	107 0.8×	86 1.1×	69 0.9×	50	445

Countries citing papers authored by Liora M. Schultz

Since Specialization

Citations

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

Fields of papers citing papers by Liora M. Schultz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liora M. Schultz

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

All Works

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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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