Susan Weiner

57 total papers · 1.2k total citations
27 papers, 529 citations indexed

About

Susan Weiner is a scholar working on Pediatrics, Perinatology and Child Health, Public Health, Environmental and Occupational Health and Cognitive Neuroscience. According to data from OpenAlex, Susan Weiner has authored 27 papers receiving a total of 529 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pediatrics, Perinatology and Child Health, 4 papers in Public Health, Environmental and Occupational Health and 3 papers in Cognitive Neuroscience. Recurrent topics in Susan Weiner's work include Childhood Cancer Survivors' Quality of Life (6 papers), CAR-T cell therapy research (3 papers) and Acute Lymphoblastic Leukemia research (2 papers). Susan Weiner is often cited by papers focused on Childhood Cancer Survivors' Quality of Life (6 papers), CAR-T cell therapy research (3 papers) and Acute Lymphoblastic Leukemia research (2 papers). Susan Weiner collaborates with scholars based in United States, Denmark and France. Susan Weiner's co-authors include Howard Ehrlichman, Peter C. Adamson, Rehana K. Leak, Janellen Huttenlocher, Zhishuo Wei, Marcelo Rocha, Jun Chen, Jingyan Zhao, Hongfeng Mu and Ligen Shi and has published in prestigious journals such as Journal of Clinical Oncology, JNCI Journal of the National Cancer Institute and The Lancet Oncology.

In The Last Decade

Susan Weiner

25 papers receiving 502 citations

Author Peers

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

Author						Papers	Cites
Susan Weiner	114	109	91	72	65	27	529
Rahşan Kemerdere	131 1.1×	133 1.2×	107 1.2×	31 0.4×	24 0.4×	57	565
Maral Adel Fahmideh	70 0.6×	161 1.5×	132 1.5×	53 0.7×	20 0.3×	14	477
Ahmed J. Awad	141 1.2×	70 0.6×	90 1.0×	84 1.2×	32 0.5×	39	584
Timothy W. Vogel	107 0.9×	44 0.4×	218 2.4×	59 0.8×	32 0.5×	30	609
Sylwia Libard	104 0.9×	132 1.2×	150 1.6×	22 0.3×	75 1.2×	23	577
Xiaosa Chi	158 1.4×	26 0.2×	123 1.4×	50 0.7×	66 1.0×	37	539
Catherine Lagord	110 1.0×	67 0.6×	201 2.2×	44 0.6×	31 0.5×	16	558
Tessa Hedley-Whyte	106 0.9×	99 0.9×	49 0.5×	46 0.6×	28 0.4×	13	504
Taizo Shimomura	67 0.6×	96 0.9×	131 1.4×	44 0.6×	25 0.4×	30	597
Steven Rostad	79 0.7×	155 1.4×	172 1.9×	19 0.3×	26 0.4×	26	552

Countries citing papers authored by Susan Weiner

Since Specialization

Citations

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

Fields of papers citing papers by Susan Weiner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Susan Weiner

This figure shows the co-authorship network connecting the top 25 collaborators of Susan Weiner. A scholar is included among the top collaborators of Susan Weiner 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 Susan Weiner. Susan Weiner 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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