Donna R. Vining

1.2k total citations
9 papers, 971 citations indexed

About

Donna R. Vining is a scholar working on Immunology, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Donna R. Vining has authored 9 papers receiving a total of 971 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Immunology, 2 papers in Molecular Biology and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Donna R. Vining's work include Immunotherapy and Immune Responses (3 papers), Phytochemicals and Antioxidant Activities (2 papers) and Tea Polyphenols and Effects (2 papers). Donna R. Vining is often cited by papers focused on Immunotherapy and Immune Responses (3 papers), Phytochemicals and Antioxidant Activities (2 papers) and Tea Polyphenols and Effects (2 papers). Donna R. Vining collaborates with scholars based in United States. Donna R. Vining's co-authors include David S. Alberts, James A. Crowell, H.‐H. Sherry Chow, Wade M. Chew, Iman A. Hakim, James Ranger‐Moore, Víctor H. Engelhard, Yukihiko Hara, Jessica A. Miller and Linda L. Garland and has published in prestigious journals such as The Journal of Immunology, Clinical Cancer Research and Cancer Epidemiology Biomarkers & Prevention.

In The Last Decade

Donna R. Vining

9 papers receiving 940 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Donna R. Vining United States	7	359	260	204	169	143	9	971
Pedro Michaluart Brazil	16	161 0.4×	708 2.7×	211 1.0×	102 0.6×	278 1.9×	19	1.7k
Manzar Alam India	22	287 0.8×	597 2.3×	151 0.7×	85 0.5×	225 1.6×	38	1.4k
Xiaoli Peng China	16	155 0.4×	540 2.1×	241 1.2×	35 0.2×	108 0.8×	26	1.1k
Tyler Calway United States	18	295 0.8×	765 2.9×	179 0.9×	66 0.4×	134 0.9×	26	1.4k
Darren N. Seril United States	16	523 1.5×	470 1.8×	297 1.5×	139 0.8×	246 1.7×	25	1.6k
Mallikarjuna Gu United States	19	96 0.3×	695 2.7×	164 0.8×	68 0.4×	115 0.8×	22	1.3k
Na‐Young Song South Korea	22	81 0.2×	711 2.7×	78 0.4×	155 0.9×	238 1.7×	59	1.4k
Bethsebie Lalduhsaki Sailo India	14	99 0.3×	774 3.0×	91 0.4×	142 0.8×	182 1.3×	20	1.6k
Young Jin Moon South Korea	13	233 0.6×	496 1.9×	302 1.5×	31 0.2×	206 1.4×	25	1.4k
Mitali Pandey India	15	101 0.3×	499 1.9×	86 0.4×	45 0.3×	69 0.5×	38	962

Countries citing papers authored by Donna R. Vining

Since Specialization

Citations

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

Fields of papers citing papers by Donna R. Vining

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Donna R. Vining. 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 Donna R. Vining. The network helps show where Donna R. Vining may publish in the future.

Co-authorship network of co-authors of Donna R. Vining

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

All Works

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9 of 9 papers shown

Miller, Jessica A., Patricia Thomson, Iman A. Hakim, et al.. (2010). Abstract A79: Human breast tissue bioavailability of topically applied limonene. Cancer Prevention Research. 3(1_Supplement). A79–A79. 2 indexed citations

Chow, H.‐H. Sherry, Linda L. Garland, Chiu‐Hsieh Hsu, et al.. (2010). Resveratrol Modulates Drug- and Carcinogen-Metabolizing Enzymes in a Healthy Volunteer Study. Cancer Prevention Research. 3(9). 1168–1175. 255 indexed citations

Chow, H.‐H. Sherry, Iman A. Hakim, Donna R. Vining, et al.. (2007). Modulation of Human Glutathione S-Transferases by Polyphenon E Intervention. Cancer Epidemiology Biomarkers & Prevention. 16(8). 1662–1666. 64 indexed citations

Chow, H.‐H. Sherry, Iman A. Hakim, Donna R. Vining, et al.. (2006). Effects of Repeated Green Tea Catechin Administration on Human Cytochrome P450 Activity. Cancer Epidemiology Biomarkers & Prevention. 15(12). 2473–2476. 123 indexed citations

Chow, H.‐H. Sherry, Iman A. Hakim, Donna R. Vining, et al.. (2005). Effects of Dosing Condition on the Oral Bioavailability of Green Tea Catechins after Single-Dose Administration of Polyphenon E in Healthy Individuals. Clinical Cancer Research. 11(12). 4627–4633. 320 indexed citations

Vining, Donna R.. (2002). The NCIDQ: Beyond Examination. Journal of Interior Design. 28(2). 4–5. 1 indexed citations

Newberg, Michael H., et al.. (1996). Importance of MHC class 1 α2 and α3 domains in the recognition of self and non-self MHC molecules. The Journal of Immunology. 156(7). 2473–2480. 84 indexed citations

Cox, Josephine H., et al.. (1994). Association of human class I MHC alleles with the adenovirus E3/19K protein.. The Journal of Immunology. 152(8). 3862–3872. 90 indexed citations

Newberg, Michael H., J P Ridge, Donna R. Vining, Russell D. Salter, & Víctor H. Engelhard. (1992). Species specificity in the interaction of CD8 with the alpha 3 domain of MHC class I molecules. The Journal of Immunology. 149(1). 136–142. 32 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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