Daniel Kim

40 total papers · 783 total citations
17 papers, 495 citations indexed

About

Daniel Kim is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cancer Research. According to data from OpenAlex, Daniel Kim has authored 17 papers receiving a total of 495 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Cancer Research. Recurrent topics in Daniel Kim's work include Single-cell and spatial transcriptomics (3 papers), Neuroscience and Neural Engineering (2 papers) and Collagen: Extraction and Characterization (2 papers). Daniel Kim is often cited by papers focused on Single-cell and spatial transcriptomics (3 papers), Neuroscience and Neural Engineering (2 papers) and Collagen: Extraction and Characterization (2 papers). Daniel Kim collaborates with scholars based in United States, South Korea and Australia. Daniel Kim's co-authors include S. Michael Yu, Yang Li, Sastry Gollapudi, C. S. Kim, Sudhir Gupta, Leman Yel, Liana R. Stein, Lennart Mucke, Gui-Qiu Yu and Lei Zhu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Analytical Biochemistry and Journal of Neurophysiology.

In The Last Decade

Daniel Kim

17 papers receiving 483 citations

Author Peers

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

Author						Papers	Cites
Daniel Kim	233	100	51	47	46	17	495
Wei Zhao	257 1.1×	42 0.4×	18 0.4×	10 0.2×	37 0.8×	17	494
Tak Shun Fung	267 1.1×	59 0.6×	36 0.7×	14 0.3×	24 0.5×	12	483
Juan Shao	224 1.0×	29 0.3×	46 0.9×	17 0.4×	53 1.2×	26	524
Zhengping Hu	199 0.9×	44 0.4×	15 0.3×	14 0.3×	35 0.8×	28	415
Hailong Zhang	329 1.4×	21 0.2×	59 1.2×	58 1.2×	22 0.5×	27	537
Xin Yi	294 1.3×	30 0.3×	34 0.7×	5 0.1×	26 0.6×	40	548
Dehui Qian	163 0.7×	85 0.8×	30 0.6×	10 0.2×	52 1.1×	33	519
Junko Naito	223 1.0×	39 0.4×	20 0.4×	34 0.7×	17 0.4×	36	449
Mario Navarro-Márquez	278 1.2×	35 0.3×	22 0.4×	20 0.4×	42 0.9×	18	494
Britta Husse	301 1.3×	37 0.4×	90 1.8×	10 0.2×	50 1.1×	14	537

Countries citing papers authored by Daniel Kim

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Kim

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