Kuolung Hu

32 total papers · 2.0k total citations
25 papers, 969 citations indexed

About

Kuolung Hu is a scholar working on Hematology, Statistics and Probability and Genetics. According to data from OpenAlex, Kuolung Hu has authored 25 papers receiving a total of 969 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Hematology, 8 papers in Statistics and Probability and 5 papers in Genetics. Recurrent topics in Kuolung Hu's work include Acute Myeloid Leukemia Research (7 papers), Statistical Methods in Clinical Trials (7 papers) and Statistical Methods and Inference (5 papers). Kuolung Hu is often cited by papers focused on Acute Myeloid Leukemia Research (7 papers), Statistical Methods in Clinical Trials (7 papers) and Statistical Methods and Inference (5 papers). Kuolung Hu collaborates with scholars based in United States, France and United Kingdom. Kuolung Hu's co-authors include George L. Bakris, Hagop M. Kantarjian, Janet B. McGill, Katherine R. Tuttle, Robert D. Toto, Pamela W. Anderson, Janet Franklin, Mikkael A. Sekeres, Pierre Fenaux and Dietmar Berger and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Diabetes Care.

In The Last Decade

Kuolung Hu

24 papers receiving 953 citations

Author Peers

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

Author						Papers	Cites
Kuolung Hu	546	298	182	120	112	25	969
Yumiko Matsubara	368 0.7×	138 0.5×	138 0.8×	65 0.5×	85 0.8×	32	974
P. Hopmeier	372 0.7×	293 1.0×	76 0.4×	73 0.6×	96 0.9×	41	849
Lianna Kyriakopoulou	131 0.2×	202 0.7×	352 1.9×	100 0.8×	165 1.5×	27	1.2k
Tamás Sütö	197 0.4×	117 0.4×	212 1.2×	111 0.9×	38 0.3×	16	1.0k
Fokko van der Woude	172 0.3×	145 0.5×	177 1.0×	206 1.7×	50 0.4×	23	1.1k
Hongjie Wang	186 0.3×	93 0.3×	145 0.8×	57 0.5×	67 0.6×	29	813
Grant Bledsoe	145 0.3×	457 1.5×	487 2.7×	86 0.7×	72 0.6×	26	1.2k
Olga Panes	411 0.8×	68 0.2×	181 1.0×	216 1.8×	44 0.4×	28	1.1k
Muhammed Kashif	240 0.4×	82 0.3×	224 1.2×	192 1.6×	35 0.3×	14	807
Jerome L. Sullivan	455 0.8×	272 0.9×	130 0.7×	31 0.3×	32 0.3×	28	935

Countries citing papers authored by Kuolung Hu

Since Specialization

Citations

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

Fields of papers citing papers by Kuolung Hu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kuolung Hu

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