Long Hung

44 total papers · 969 total citations
13 papers, 710 citations indexed

About

Long Hung is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Long Hung has authored 13 papers receiving a total of 710 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Oncology and 5 papers in Cancer Research. Recurrent topics in Long Hung's work include Neuroblastoma Research and Treatments (4 papers), Sarcoma Diagnosis and Treatment (3 papers) and Renal and related cancers (2 papers). Long Hung is often cited by papers focused on Neuroblastoma Research and Treatments (4 papers), Sarcoma Diagnosis and Treatment (3 papers) and Renal and related cancers (2 papers). Long Hung collaborates with scholars based in United States, Japan and Austria. Long Hung's co-authors include Elizabeth R. Lawlor, Aaron Cooper, Shahab Asgharzadeh, Xiaohua Jiang, Sakunthala Muthugounder, Dorothea Douglas, Timothy J. Triche, Hiroyuki Shimada, Cornelia von Levetzow and Gregor von Levetzow and has published in prestigious journals such as Nature Communications, PLoS ONE and Cancer Research.

In The Last Decade

Long Hung

13 papers receiving 704 citations

Author Peers

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

Author Last Decade Papers Cites
Long Hung 368 247 174 139 130 13 710
Tanya A. Rege 337 0.9× 151 0.6× 147 0.8× 108 0.8× 44 0.3× 13 733
John E. Neely 376 1.0× 199 0.8× 203 1.2× 85 0.6× 283 2.2× 18 895
Christina Manley 437 1.2× 182 0.7× 141 0.8× 214 1.5× 80 0.6× 13 631
Matthew Wright 417 1.1× 259 1.0× 125 0.7× 101 0.7× 81 0.6× 18 773
Mahshid Saleh 204 0.6× 179 0.7× 82 0.5× 119 0.9× 57 0.4× 22 662
Rebeca Galisteo 355 1.0× 251 1.0× 97 0.6× 164 1.2× 26 0.2× 18 829
Noboru Ando 332 0.9× 240 1.0× 178 1.0× 92 0.7× 45 0.3× 25 749
Martin Uhl 364 1.0× 225 0.9× 60 0.3× 80 0.6× 149 1.1× 19 864
Suzanne E. Little 539 1.5× 138 0.6× 164 0.9× 229 1.6× 153 1.2× 15 846
Neal Goodwin 201 0.5× 249 1.0× 99 0.6× 84 0.6× 30 0.2× 15 643

Countries citing papers authored by Long Hung

Since Specialization
Citations

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

Fields of papers citing papers by Long Hung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Long Hung

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