Daniel H. Park

31 total papers · 1.0k total citations
11 papers, 122 citations indexed

About

Daniel H. Park is a scholar working on Oncology, Immunology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Daniel H. Park has authored 11 papers receiving a total of 122 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oncology, 7 papers in Immunology and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Daniel H. Park's work include CAR-T cell therapy research (6 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Immunotherapy and Immune Responses (4 papers). Daniel H. Park is often cited by papers focused on CAR-T cell therapy research (6 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Immunotherapy and Immune Responses (4 papers). Daniel H. Park collaborates with scholars based in United States and China. Daniel H. Park's co-authors include David B. Weiner, Kevin Liaw, Trevor R.F. Smith, Ryan P. O’Connell, Xizhou Zhu, Pratik Bhojnagarwala, Mark A. Sellmyer, Devivasha Bordoloi, Ami Patel and Michael D. Farwell and has published in prestigious journals such as Cancer Research, Frontiers in Immunology and Molecular Therapy.

In The Last Decade

Daniel H. Park

10 papers receiving 121 citations

Author Peers

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

Author						Papers	Cites
Daniel H. Park	56	55	47	28	16	11	122
Shilpa Mankikar	78 1.4×	105 1.9×	29 0.6×	21 0.8×	11 0.7×	9	150
Ben S. Wendel	132 2.4×	38 0.7×	43 0.9×	18 0.6×	14 0.9×	9	180
Sunjong Ji	37 0.7×	45 0.8×	30 0.6×	19 0.7×	17 1.1×	11	118
Xizhou Zhu	71 1.3×	39 0.7×	61 1.3×	26 0.9×	9 0.6×	14	131
Yi Li	61 1.1×	55 1.0×	25 0.5×	16 0.6×	5 0.3×	15	107
Tina Ahmed	97 1.7×	53 1.0×	67 1.4×	8 0.3×	19 1.2×	10	148
Luca D. Meesters	133 2.4×	50 0.9×	65 1.4×	12 0.4×	13 0.8×	9	225
Christina K. Baumgartner	86 1.5×	46 0.8×	55 1.2×	13 0.5×	41 2.6×	16	221
Jeremy Fry	103 1.8×	85 1.5×	66 1.4×	48 1.7×	37 2.3×	13	235
Eric Wilson	49 0.9×	52 0.9×	52 1.1×	7 0.3×	12 0.8×	11	140

Countries citing papers authored by Daniel H. Park

Since Specialization

Citations

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

Fields of papers citing papers by Daniel H. Park

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel H. Park

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