Eric Prince

81 total papers · 650 total citations
29 papers, 324 citations indexed

About

Eric Prince is a scholar working on Genetics, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Eric Prince has authored 29 papers receiving a total of 324 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Genetics, 12 papers in Molecular Biology and 8 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Eric Prince's work include Glioma Diagnosis and Treatment (14 papers), Pituitary Gland Disorders and Treatments (8 papers) and Artificial Intelligence in Healthcare and Education (4 papers). Eric Prince is often cited by papers focused on Glioma Diagnosis and Treatment (14 papers), Pituitary Gland Disorders and Treatments (8 papers) and Artificial Intelligence in Healthcare and Education (4 papers). Eric Prince collaborates with scholars based in United States, United Kingdom and Germany. Eric Prince's co-authors include Todd C. Hankinson, Rajeev Vibhakar, Nicholas K. Foreman, Ahmed Gilani, Andrew M. Donson, Sujatha Venkataraman, Astrid C. Hengartner, Vladimir Amani, Jean M. Mulcahy Levy and Trinka Vijmasi and has published in prestigious journals such as Cell Reports, Journal of Neuropathology & Experimental Neurology and Oncotarget.

In The Last Decade

Eric Prince

26 papers receiving 319 citations

Author Peers

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

Author						Papers	Cites
Eric Prince	171	165	81	70	48	29	324
Lorna Zadravec Zaletel	127 0.7×	138 0.8×	69 0.9×	42 0.6×	43 0.9×	24	307
Dabiao Zhou	177 1.0×	66 0.4×	71 0.9×	78 1.1×	26 0.5×	32	351
Rongjie Tao	113 0.7×	145 0.9×	29 0.4×	64 0.9×	71 1.5×	27	358
Tobias Goschzik	238 1.4×	177 1.1×	57 0.7×	92 1.3×	14 0.3×	15	329
Wenjianlong Zhou	87 0.5×	83 0.5×	91 1.1×	35 0.5×	23 0.5×	19	275
Guanglong Huang	74 0.4×	96 0.6×	94 1.2×	22 0.3×	34 0.7×	28	319
Balázs Murnyák	78 0.5×	115 0.7×	30 0.4×	60 0.9×	90 1.9×	23	320
Ruofei Liang	161 0.9×	96 0.6×	19 0.2×	56 0.8×	78 1.6×	23	357
Araceli García‐Martínez	79 0.5×	77 0.5×	109 1.3×	24 0.3×	53 1.1×	19	245
Feng Cai	63 0.4×	123 0.7×	106 1.3×	20 0.3×	67 1.4×	28	342

Countries citing papers authored by Eric Prince

Since Specialization

Citations

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

Fields of papers citing papers by Eric Prince

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eric Prince

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