Helen Chung

1.1k total citations · 1 hit paper
8 papers, 895 citations indexed

About

Helen Chung is a scholar working on Molecular Biology, Neurology and Oncology. According to data from OpenAlex, Helen Chung has authored 8 papers receiving a total of 895 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Neurology and 2 papers in Oncology. Recurrent topics in Helen Chung's work include Neuroblastoma Research and Treatments (3 papers), Economic and Financial Impacts of Cancer (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). Helen Chung is often cited by papers focused on Neuroblastoma Research and Treatments (3 papers), Economic and Financial Impacts of Cancer (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). Helen Chung collaborates with scholars based in United States, United Kingdom and Spain. Helen Chung's co-authors include Cheryl Chan, Robert J. Hayes, Bassil I. Dahiyat, Wei Dang, Jost Vielmetter, Sean C. Yoder, David F. Carmichael, Omid Vafa, Sher Karki and Araz Eivazi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Lancet Oncology and Clinical Cancer Research.

In The Last Decade

Helen Chung

8 papers receiving 839 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.

Engineered antibody Fc variants with enhanced effector function

2006 590 citations Greg A. Lazar, Wei Dang et al. Proceedings of the National Academy of Sciences profile →

Peers

Helen Chung

MB

RNMI

IMMUN

ONCOL

NEURO

Adriana Carr Cuba

Manfred Schwaiger Germany

Dick J. Schol Netherlands

P O Livingston United States

Alexei L. Krasnoselsky United States

Namir J. Hassan United Kingdom

Jamie K. Miller United States

Seung-Uon Shin United States

M J Calves United States

Bolen Jb United States

Adriana Carr Cuba

Helen Chung

858 ×1.7

MB

401 ×0.8

RNMI

596 ×2.0

IMMUN

180 ×0.8

ONCOL

131 ×1.1

NEURO

Citations per year, relative to Helen Chung Helen Chung (= 1×) peers Adriana Carr

Countries citing papers authored by Helen Chung

Since Specialization

Citations

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

Fields of papers citing papers by Helen Chung

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Helen Chung

This figure shows the co-authorship network connecting the top 25 collaborators of Helen Chung. A scholar is included among the top collaborators of Helen Chung 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 Helen Chung. Helen Chung 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:

8 of 8 papers shown

1.

Trowman, Rebecca, et al.. (2011). The National Institute for Health and Clinical Excellence and Its Role in Assessing the Value of New Cancer Treatments in England and Wales. Clinical Cancer Research. 17(15). 4930–4935. 18 indexed citations

2.

Chung, Helen, et al.. (2009). Lenalidomide for the treatment of relapsed multiple myeloma. The Lancet Oncology. 10(7). 647–648. 3 indexed citations

3.

Chung, Helen, et al.. (2008). Rituximab for follicular non-Hodgkin lymphoma. The Lancet Oncology. 9(4). 320–321. 4 indexed citations

4.

Lazar, Greg A., Wei Dang, Sher Karki, et al.. (2006). Engineered antibody Fc variants with enhanced effector function. Proceedings of the National Academy of Sciences. 103(11). 4005–4010. 590 indexed citations breakdown →

5.

Luo, Peizhi, Robert J. Hayes, Cheryl Chan, et al.. (2002). Development of a cytokine analog with enhanced stability using computational ultrahigh throughput screening. Protein Science. 11(5). 1218–1226. 46 indexed citations

6.

Chung, Helen, Natalie Rucker, Sandra Siegel, et al.. (1981). In vitro and in vivo preclinical chemotherapy studies of human neuroblastoma.. PubMed. 64(8-9). 975–9. 8 indexed citations

7.

Seeger, Robert C., Sylvia A. Rayner, Helen Chung, et al.. (1977). Morphology, growth, chromosomal pattern and fibrinolytic activity of two new human neuroblastoma cell lines.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 37(5). 1364–71. 206 indexed citations

8.

Chung, Helen, et al.. (1977). Abnormalities of the immune system in children with neuroblastoma related to the neoplasm and chemotherapy. The Journal of Pediatrics. 90(4). 548–554. 20 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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