Hong Cai

29 total papers · 438 total citations
21 papers, 331 citations indexed

About

Hong Cai is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Computational Theory and Mathematics. According to data from OpenAlex, Hong Cai has authored 21 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 8 papers in Public Health, Environmental and Occupational Health and 6 papers in Computational Theory and Mathematics. Recurrent topics in Hong Cai's work include Malaria Research and Control (7 papers), Computational Drug Discovery Methods (6 papers) and vaccines and immunoinformatics approaches (5 papers). Hong Cai is often cited by papers focused on Malaria Research and Control (7 papers), Computational Drug Discovery Methods (6 papers) and vaccines and immunoinformatics approaches (5 papers). Hong Cai collaborates with scholars based in United States, China and Ethiopia. Hong Cai's co-authors include Yufeng Wang, Chrissy M. Leopold Wager, Natalia Castro-Lopez, Karen L. Wozniak, Althea Campuzano, Floyd L. Wormley, Camaron R. Hole, Jianying Gu, Yang Ke and Rui Kuang and has published in prestigious journals such as Nature Communications, Cancer Research and Scientific Reports.

In The Last Decade

Hong Cai

20 papers receiving 328 citations

Author Peers

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

Author						Papers	Cites
Hong Cai	145	108	53	48	46	21	331
Mathieu Le Gars	109 0.8×	66 0.6×	43 0.8×	59 1.2×	53 1.2×	21	309
Ria Goswami	103 0.7×	52 0.5×	39 0.7×	112 2.3×	86 1.9×	19	294
Orhan Raşid	166 1.1×	78 0.7×	12 0.2×	88 1.8×	77 1.7×	21	327
Marieke van der Heiden	119 0.8×	36 0.3×	10 0.2×	77 1.6×	91 2.0×	30	330
Natascha Köstlin‐Gille	147 1.0×	40 0.4×	28 0.5×	27 0.6×	54 1.2×	24	292
Venkata Ramanarao Parasa	175 1.2×	63 0.6×	14 0.3×	145 3.0×	92 2.0×	13	341
Justine Javaux	202 1.4×	45 0.4×	18 0.3×	44 0.9×	63 1.4×	13	305
Edward J M Monk	80 0.6×	72 0.7×	13 0.2×	87 1.8×	60 1.3×	17	333
Regina Hoo	130 0.9×	114 1.1×	35 0.7×	24 0.5×	41 0.9×	13	320
Qing‐Dong Xie	62 0.4×	95 0.9×	19 0.4×	38 0.8×	139 3.0×	25	331

Countries citing papers authored by Hong Cai

Since Specialization

Citations

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

Fields of papers citing papers by Hong Cai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hong Cai

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