Catherine Huang

19 total papers · 529 total citations
11 papers, 419 citations indexed

About

Catherine Huang is a scholar working on Molecular Biology, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Catherine Huang has authored 11 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Oncology and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Catherine Huang's work include Monoclonal and Polyclonal Antibodies Research (5 papers), HER2/EGFR in Cancer Research (4 papers) and Glycosylation and Glycoproteins Research (2 papers). Catherine Huang is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (5 papers), HER2/EGFR in Cancer Research (4 papers) and Glycosylation and Glycoproteins Research (2 papers). Catherine Huang collaborates with scholars based in United States, China and Switzerland. Catherine Huang's co-authors include Rachel Schiff, C. Kent Osborne, Mothaffar F. Rimawi, Yen-Chao Wang, Susan G. Hilsenbeck, Jiang Shou, Catherine C. Park, Mina J. Bissell, Suleiman Massarweh and Ilenia Migliaccio and has published in prestigious journals such as American Journal of Public Health, Clinical Cancer Research and Journal of Investigative Dermatology.

In The Last Decade

Catherine Huang

11 papers receiving 407 citations

Author Peers

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

Author						Papers	Cites
Catherine Huang	247	176	123	78	66	11	419
Sylvie M�nard	261 1.1×	227 1.3×	193 1.6×	87 1.1×	67 1.0×	10	489
Christoph Rösli	137 0.6×	245 1.4×	168 1.4×	124 1.6×	70 1.1×	10	486
Xiaoli Hui	186 0.8×	218 1.2×	106 0.9×	81 1.0×	29 0.4×	16	476
K Imai	170 0.7×	265 1.5×	65 0.5×	129 1.7×	37 0.6×	14	423
Marta Marco	128 0.5×	152 0.9×	77 0.6×	50 0.6×	200 3.0×	13	434
S. G. Shering	200 0.8×	175 1.0×	48 0.4×	37 0.5×	53 0.8×	11	482
Giovanella Bc	206 0.8×	188 1.1×	46 0.4×	53 0.7×	22 0.3×	12	420
Naoko Kawakami-Kimura	103 0.4×	255 1.4×	69 0.6×	83 1.1×	156 2.4×	12	378
G. Rowlinson	129 0.5×	107 0.6×	308 2.5×	59 0.8×	22 0.3×	11	466
Feodor Berdichevsky	206 0.8×	243 1.4×	79 0.6×	88 1.1×	185 2.8×	10	478

Countries citing papers authored by Catherine Huang

Since Specialization

Citations

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

Fields of papers citing papers by Catherine Huang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Catherine Huang

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