David Fei

1.1k total citations
7 papers, 839 citations indexed

About

David Fei is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Immunology. According to data from OpenAlex, David Fei has authored 7 papers receiving a total of 839 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Immunology. Recurrent topics in David Fei's work include Monoclonal and Polyclonal Antibodies Research (4 papers), Advanced Biosensing Techniques and Applications (2 papers) and Retinal Diseases and Treatments (2 papers). David Fei is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (4 papers), Advanced Biosensing Techniques and Applications (2 papers) and Retinal Diseases and Treatments (2 papers). David Fei collaborates with scholars based in United States, Switzerland and New Zealand. David Fei's co-authors include Jacques Gaudreault, Jeriza Rusit, Enrique Escandón, Julianne Mendoza, Yvonne S. Lin, Nishit B. Modi, Y. Gloria Meng, Anne Ryan, Lisa A. Damico and Linda Rangell and has published in prestigious journals such as American Journal of Clinical Nutrition, Journal of Pharmacology and Experimental Therapeutics and Transplantation.

In The Last Decade

David Fei

6 papers receiving 791 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
David Fei United States	5	500	437	341	82	79	7	839
Itay Chowers Israel	18	669 1.3×	244 0.6×	309 0.9×	199 2.4×	138 1.7×	41	869
Benjamin L. George Singapore	15	174 0.3×	488 1.1×	262 0.8×	80 1.0×	85 1.1×	20	830
Lisa A. Damico‐Beyer United States	10	164 0.3×	259 0.6×	199 0.6×	141 1.7×	134 1.7×	16	527
K. Pesonen Finland	9	60 0.1×	140 0.3×	136 0.4×	99 1.2×	27 0.3×	11	496
Shinji Ozaki Japan	19	68 0.1×	204 0.5×	252 0.7×	256 3.1×	50 0.6×	77	1.0k
Behnaz Bayat Germany	16	80 0.2×	68 0.2×	108 0.3×	43 0.5×	320 4.1×	50	822
Jeff Faint United Kingdom	9	39 0.1×	82 0.2×	130 0.4×	103 1.3×	164 2.1×	11	577
Takeshi Machida Japan	12	45 0.1×	45 0.1×	79 0.2×	113 1.4×	200 2.5×	34	442
Zeyana Rivera United States	5	80 0.2×	38 0.1×	316 0.9×	240 2.9×	136 1.7×	7	1.0k
PJ van Diest Netherlands	4	58 0.1×	29 0.1×	235 0.7×	84 1.0×	60 0.8×	13	450

Countries citing papers authored by David Fei

Since Specialization

Citations

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

Fields of papers citing papers by David Fei

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Fei

This figure shows the co-authorship network connecting the top 25 collaborators of David Fei. A scholar is included among the top collaborators of David Fei 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 David Fei. David Fei is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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7 of 7 papers shown

1.

Lai, Chao‐Qiang, Laurence D. Parnell, Caren E. Smith, et al.. (2020). Carbohydrate and fat intake associated with risk of metabolic diseases through epigenetics of CPT1A. American Journal of Clinical Nutrition. 112(5). 1200–1211. 51 indexed citations

2.

Gaudreault, Jacques, David Fei, Joseph C. Beyer, et al.. (2007). PHARMACOKINETICS AND RETINAL DISTRIBUTION OF RANIBIZUMAB, A HUMANIZED ANTIBODY FRAGMENT DIRECTED AGAINST VEGF-A, FOLLOWING INTRAVITREAL ADMINISTRATION IN RABBITS. Retina. 27(9). 1260–1266. 148 indexed citations

3.

McCutcheon, Krista, Edward T. O’Hara, & David Fei. (2005). Multiplexed Serum Measurement of IgG, IgA, IgM, and IgE Antibody Responses to Therapeutic Biologicals. Immunological Investigations. 34(2). 199–213. 1 indexed citations

4.

Gaudreault, Jacques, et al.. (2005). Preclinical Pharmacokinetics of Ranibizumab (rhuFabV2) after a Single Intravitreal Administration. Investigative Ophthalmology & Visual Science. 46(2). 726–726. 408 indexed citations

5.

McCutcheon, Krista, Edward O’Hara, & David Fei. (2005). Multiplexed Serum Measurement of IgG, IgA, IgM, and IgE Antibody Responses to Therapeutic Biologicals. Immunological Investigations. 34(2). 199–213. 3 indexed citations

6.

Lin, Yvonne S., Julianne Mendoza, Enrique Escandón, et al.. (1999). Preclinical Pharmacokinetics, Interspecies Scaling, and Tissue Distribution of a Humanized Monoclonal Antibody against Vascular Endothelial Growth Factor. Journal of Pharmacology and Experimental Therapeutics. 288(1). 371–378. 201 indexed citations

7.

Koren, Eugen, Franko Milotić, Francisca A. Neethling, et al.. (1996). MONOCLONAL ANTIIDIOTYPIC ANTIBODIES NEUTRALIZE CYTOTOXIC EFFECTS OF ANTI-??GAL ANTIBODIES. Transplantation. 62(6). 837–843. 27 indexed citations

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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