Alex Kong

38 total papers · 1.6k total citations
7 papers, 69 citations indexed

About

Alex Kong is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Computational Mechanics. According to data from OpenAlex, Alex Kong has authored 7 papers receiving a total of 69 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Pulmonary and Respiratory Medicine and 1 paper in Computational Mechanics. Recurrent topics in Alex Kong's work include Molecular Biology Techniques and Applications (2 papers), Neonatal Respiratory Health Research (2 papers) and Single-cell and spatial transcriptomics (2 papers). Alex Kong is often cited by papers focused on Molecular Biology Techniques and Applications (2 papers), Neonatal Respiratory Health Research (2 papers) and Single-cell and spatial transcriptomics (2 papers). Alex Kong collaborates with scholars based in United States, United Kingdom and Spain. Alex Kong's co-authors include Candace C. Liu, Michael Angelo, Dunja Mrdjen, Erin McCaffrey, Bryan J. Cannon, Noah F. Greenwald, Fiona Callaghan, Matt van de Rijn, A. Laurie Shroyer and Sushama Varma and has published in prestigious journals such as Nature Communications, Laboratory Investigation and Journal of Visualized Experiments.

In The Last Decade

Alex Kong

3 papers receiving 69 citations

Author Peers

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

Author						Papers	Cites
Alex Kong	43	18	16	12	12	7	69
Julie Messiaen	23 0.5×	9 0.5×	8 0.5×	2 0.2×	11 0.9×	6	46
Sarah Cherkaoui	159 3.7×	11 0.6×	10 0.6×	3 0.3×	7 0.6×	7	242
Corey M. Nemec	201 4.7×	7 0.4×	8 0.5×	4 0.3×	15 1.3×	7	226
Sanjana Srinivasan	111 2.6×	6 0.3×	5 0.3×	3 0.3×	4 0.3×	10	218
Linda Kvastad	153 3.6×	12 0.7×	10 0.6×	4 0.3×	45 3.8×	8	222
Graeme Chapman	63 1.5×	10 0.6×	11 0.7×	15 1.3×	111 9.3×	7	251
Nichole O’Connell	177 4.1×	5 0.3×	14 0.9×	5 0.4×	6 0.5×	11	218
Elisabeth Streckel	121 2.8×	3 0.2×	11 0.7×	10 0.8×	20 1.7×	6	229
Jeremy Jacobsen	171 4.0×	8 0.4×	7 0.4×	3 0.3×	6 0.5×	7	219
Timothy A. Gondré-Lewis	52 1.2×	7 0.4×	27 1.7×	28 2.3×	75 6.3×	7	231

Countries citing papers authored by Alex Kong

Since Specialization

Citations

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

Fields of papers citing papers by Alex Kong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alex Kong

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