Haing Woon Baik

19 total papers · 1.0k total citations
7 papers, 872 citations indexed

About

Haing Woon Baik is a scholar working on Molecular Biology, Immunology and Pharmacology. According to data from OpenAlex, Haing Woon Baik has authored 7 papers receiving a total of 872 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Immunology and 1 paper in Pharmacology. Recurrent topics in Haing Woon Baik's work include Metabolism, Diabetes, and Cancer (3 papers), Genomics, phytochemicals, and oxidative stress (1 paper) and Monoclonal and Polyclonal Antibodies Research (1 paper). Haing Woon Baik is often cited by papers focused on Metabolism, Diabetes, and Cancer (3 papers), Genomics, phytochemicals, and oxidative stress (1 paper) and Monoclonal and Polyclonal Antibodies Research (1 paper). Haing Woon Baik collaborates with scholars based in South Korea, United States and United Kingdom. Haing Woon Baik's co-authors include Seong‐Kyu Lee, Joohun Ha, Ock Jin Park, In Ja Park, Jin-Taek Hwang, Jin‐Taek Hwang, Young Min Kim, Young‐Min Kim, Young‐Joon Surh and Yong Sik Kim and has published in prestigious journals such as Cancer Research, Biochemical and Biophysical Research Communications and Cancer Letters.

In The Last Decade

Haing Woon Baik

7 papers receiving 834 citations

Author Peers

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

Author						Papers	Cites
Haing Woon Baik	400	172	164	156	136	7	872
Anuradha A. Shastri	263 0.7×	135 0.8×	246 1.5×	168 1.1×	212 1.6×	10	830
Anne W. Harmon	440 1.1×	111 0.6×	174 1.1×	173 1.1×	109 0.8×	13	986
In-Sook Kwun	248 0.6×	158 0.9×	260 1.6×	180 1.2×	230 1.7×	10	908
Kheira M. Abdelaziz	360 0.9×	85 0.5×	254 1.5×	100 0.6×	102 0.8×	11	1.0k
Flora L. Marasciulo	232 0.6×	282 1.6×	313 1.9×	136 0.9×	210 1.5×	8	1.0k
Tatsuya Kusudo	315 0.8×	161 0.9×	252 1.5×	144 0.9×	66 0.5×	27	817
Priyanka Bapat	212 0.5×	128 0.7×	232 1.4×	167 1.1×	214 1.6×	6	752
Vicent Bonet-Costa	260 0.7×	100 0.6×	239 1.5×	85 0.5×	89 0.7×	8	885
Qu Fan Collins	404 1.0×	126 0.7×	169 1.0×	138 0.9×	100 0.7×	8	728
Jia‐Ching Wu	397 1.0×	93 0.5×	157 1.0×	109 0.7×	177 1.3×	19	844

Countries citing papers authored by Haing Woon Baik

Since Specialization

Citations

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

Fields of papers citing papers by Haing Woon Baik

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Haing Woon Baik. 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 Haing Woon Baik. The network helps show where Haing Woon Baik may publish in the future.

Co-authorship network of co-authors of Haing Woon Baik

This figure shows the co-authorship network connecting the top 25 collaborators of Haing Woon Baik. A scholar is included among the top collaborators of Haing Woon Baik 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 Haing Woon Baik. Haing Woon Baik 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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