Susan Chun

9 total papers · 506 total citations
9 papers, 433 citations indexed

About

Susan Chun is a scholar working on Pulmonary and Respiratory Medicine, Immunology and Molecular Biology. According to data from OpenAlex, Susan Chun has authored 9 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Pulmonary and Respiratory Medicine, 3 papers in Immunology and 2 papers in Molecular Biology. Recurrent topics in Susan Chun's work include T-cell and Retrovirus Studies (3 papers), Neonatal Respiratory Health Research (2 papers) and Vector-Borne Animal Diseases (2 papers). Susan Chun is often cited by papers focused on T-cell and Retrovirus Studies (3 papers), Neonatal Respiratory Health Research (2 papers) and Vector-Borne Animal Diseases (2 papers). Susan Chun collaborates with scholars based in United States, United Kingdom and South Korea. Susan Chun's co-authors include J. H. Widdicombe, Mutsuo Yamaya, Walter E. Finkbeiner, Jie Luo, Andreas Bakker, Joseph D. Rosenblatt, Lin Lin, Rork Kuick, Mark B. Orringer and Pushpendra Singh and has published in prestigious journals such as British Journal of Haematology, American Journal of Physiology-Lung Cellular and Molecular Physiology and AIDS Research and Human Retroviruses.

In The Last Decade

Susan Chun

9 papers receiving 428 citations

Author Peers

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

Author						Papers	Cites
Susan Chun	208	148	72	62	54	9	433
Christopher C. Lenox	93 0.4×	87 0.6×	25 0.3×	27 0.4×	67 1.2×	6	372
Seiya Miyajima	46 0.2×	110 0.7×	72 1.0×	42 0.7×	32 0.6×	9	484
Dianne Kube	265 1.3×	229 1.5×	34 0.5×	20 0.3×	49 0.9×	9	481
John G. Pizzolo	80 0.4×	148 1.0×	60 0.8×	79 1.3×	36 0.7×	17	483
Jerry S. Sutton	57 0.3×	112 0.8×	69 1.0×	57 0.9×	41 0.8×	7	441
Linsey Porter	76 0.4×	86 0.6×	72 1.0×	44 0.7×	35 0.6×	16	397
Chaitra Cheluvaraju	267 1.3×	176 1.2×	29 0.4×	61 1.0×	39 0.7×	7	485
Dana Ries	95 0.5×	170 1.1×	80 1.1×	10 0.2×	40 0.7×	12	489
Giacomo Diaceri	53 0.3×	181 1.2×	65 0.9×	30 0.5×	23 0.4×	9	452
Jeya Nadesalingam	175 0.8×	123 0.8×	41 0.6×	14 0.2×	50 0.9×	9	462

Countries citing papers authored by Susan Chun

Since Specialization

Citations

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

Fields of papers citing papers by Susan Chun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Susan Chun

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