Susanna Wu‐Pong

44 total papers · 595 total citations
25 papers, 434 citations indexed

About

Susanna Wu‐Pong is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and General Health Professions. According to data from OpenAlex, Susanna Wu‐Pong has authored 25 papers receiving a total of 434 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 4 papers in Public Health, Environmental and Occupational Health and 3 papers in General Health Professions. Recurrent topics in Susanna Wu‐Pong's work include RNA Interference and Gene Delivery (10 papers), DNA and Nucleic Acid Chemistry (10 papers) and Advanced biosensing and bioanalysis techniques (8 papers). Susanna Wu‐Pong is often cited by papers focused on RNA Interference and Gene Delivery (10 papers), DNA and Nucleic Acid Chemistry (10 papers) and Advanced biosensing and bioanalysis techniques (8 papers). Susanna Wu‐Pong collaborates with scholars based in United States. Susanna Wu‐Pong's co-authors include C. Anthony Hunt, Sidney H. Schnoll, Margaret Jarvis, Yon Rojanasakul, Leon Shargel, Stephen A. O’Barr, Kumar C. Shah, Peter M. Elias, Peter R. Byron and Barry Dvorchik and has published in prestigious journals such as Advanced Drug Delivery Reviews, Methods in enzymology on CD-ROM/Methods in enzymology and Journal of Investigative Dermatology.

In The Last Decade

Susanna Wu‐Pong

23 papers receiving 409 citations

Author Peers

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

Author						Papers	Cites
Susanna Wu‐Pong	225	89	51	29	25	25	434
Yuting Wen	200 0.9×	46 0.5×	14 0.3×	35 1.2×	7 0.3×	25	444
Afroz Abidi	130 0.6×	39 0.4×	14 0.3×	16 0.6×	32 1.3×	21	367
Maria D. Donovan	218 1.0×	14 0.2×	86 1.7×	14 0.5×	50 2.0×	21	475
Seo‐Young Park	119 0.5×	116 1.3×	76 1.5×	12 0.4×	7 0.3×	33	494
Mahsa Mohseni	172 0.8×	36 0.4×	15 0.3×	12 0.4×	7 0.3×	27	368
Xingyue Wang	147 0.7×	53 0.6×	18 0.4×	17 0.6×	4 0.2×	46	447
Sunitha Kodidela	221 1.0×	79 0.9×	43 0.8×	6 0.2×	7 0.3×	29	478
Eun Ju Lee	99 0.4×	103 1.2×	46 0.9×	15 0.5×	5 0.2×	31	368
Kazuyuki Suenaga	163 0.7×	108 1.2×	23 0.5×	44 1.5×	4 0.2×	27	456
Marı́lia Dourado	92 0.4×	38 0.4×	24 0.5×	4 0.1×	9 0.4×	39	369

Countries citing papers authored by Susanna Wu‐Pong

Since Specialization

Citations

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

Fields of papers citing papers by Susanna Wu‐Pong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Susanna Wu‐Pong. 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 Susanna Wu‐Pong. The network helps show where Susanna Wu‐Pong may publish in the future.

Co-authorship network of co-authors of Susanna Wu‐Pong

This figure shows the co-authorship network connecting the top 25 collaborators of Susanna Wu‐Pong. A scholar is included among the top collaborators of Susanna Wu‐Pong 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 Susanna Wu‐Pong. Susanna Wu‐Pong 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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