Keldon K. Lin

23 total papers · 433 total citations
15 papers, 184 citations indexed

About

Keldon K. Lin is a scholar working on Radiology, Nuclear Medicine and Imaging, Infectious Diseases and Oncology. According to data from OpenAlex, Keldon K. Lin has authored 15 papers receiving a total of 184 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Infectious Diseases and 3 papers in Oncology. Recurrent topics in Keldon K. Lin's work include COVID-19 Clinical Research Studies (4 papers), COVID-19 diagnosis using AI (3 papers) and COVID-19 and healthcare impacts (2 papers). Keldon K. Lin is often cited by papers focused on COVID-19 Clinical Research Studies (4 papers), COVID-19 diagnosis using AI (3 papers) and COVID-19 and healthcare impacts (2 papers). Keldon K. Lin collaborates with scholars based in United States. Keldon K. Lin's co-authors include Michael J. Diaz, Travis S. Henry, Michael D. Hope, Isabel Elaine Allen, Muhammad Umair, Clarissa Martin, Khuram Kazmi, Jennifer Dai, Marlene Girardo and Jordan R. Pollock and has published in prestigious journals such as SHILAP Revista de lepidopterología, American Journal of Roentgenology and Investigative Radiology.

In The Last Decade

Keldon K. Lin

15 papers receiving 176 citations

Author Peers

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

Author						Papers	Cites
Keldon K. Lin	85	69	28	17	15	15	184
Tongtong Zhao	101 1.2×	50 0.7×	16 0.6×	14 0.8×	27 1.8×	15	196
Sarah Denny	74 0.9×	145 2.1×	41 1.5×	31 1.8×	10 0.7×	11	286
Nidhi Naik	17 0.2×	53 0.8×	25 0.9×	9 0.5×	30 2.0×	9	259
Jamie Diamond	52 0.6×	24 0.3×	11 0.4×	9 0.5×	13 0.9×	14	173
Ran Wei	86 1.0×	71 1.0×	7 0.3×	5 0.3×	16 1.1×	17	229
Gabriel Sartori Pacini	104 1.2×	25 0.4×	64 2.3×	8 0.5×	24 1.6×	26	269
Hongjun Li	113 1.3×	88 1.3×	62 2.2×	18 1.1×	13 0.9×	20	274
Giovanni Angelotti	89 1.0×	58 0.8×	20 0.7×	20 1.2×	11 0.7×	17	171
Graham Cole	43 0.5×	22 0.3×	13 0.5×	68 4.0×	4 0.3×	12	194
Caitlin Selvaggi	11 0.1×	66 1.0×	27 1.0×	7 0.4×	9 0.6×	11	281

Countries citing papers authored by Keldon K. Lin

Since Specialization

Citations

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

Fields of papers citing papers by Keldon K. Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Keldon K. Lin. 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 Keldon K. Lin. The network helps show where Keldon K. Lin may publish in the future.

Co-authorship network of co-authors of Keldon K. Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Keldon K. Lin. A scholar is included among the top collaborators of Keldon K. Lin 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 Keldon K. Lin. Keldon K. Lin 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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