James Vitale

3.5k total citations
10 papers, 799 citations indexed

About

James Vitale is a scholar working on Molecular Biology, Genetics and Virology. According to data from OpenAlex, James Vitale has authored 10 papers receiving a total of 799 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Genetics and 3 papers in Virology. Recurrent topics in James Vitale's work include Animal Genetics and Reproduction (4 papers), HIV Research and Treatment (3 papers) and CRISPR and Genetic Engineering (3 papers). James Vitale is often cited by papers focused on Animal Genetics and Reproduction (4 papers), HIV Research and Treatment (3 papers) and CRISPR and Genetic Engineering (3 papers). James Vitale collaborates with scholars based in United States and Germany. James Vitale's co-authors include Katherine Gordon, Lothar Hennighausen, Paul DiTullio, Alan E. Smith, Heiner Westphal, Eric Lee, H Westphal, Karl M. Ebert, C.W. Pittius and Mushtaq A. Memon and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Biotechnology.

In The Last Decade

James Vitale

10 papers receiving 731 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
James Vitale United States	8	535	518	138	82	80	10	799
G. Rettenberger Germany	16	673 1.3×	553 1.1×	41 0.3×	36 0.4×	31 0.4×	33	1.1k
Muren Herrid Australia	15	258 0.5×	146 0.3×	49 0.4×	90 1.1×	64 0.8×	38	717
Izabela Szczerbal Poland	20	815 1.5×	787 1.5×	34 0.2×	35 0.4×	65 0.8×	108	1.3k
Henry Hoff United States	12	72 0.1×	540 1.0×	108 0.8×	18 0.2×	19 0.2×	18	897
M H Wong Australia	16	115 0.2×	387 0.7×	50 0.4×	7 0.1×	62 0.8×	22	864
Fugui Fang China	18	227 0.4×	388 0.7×	43 0.3×	97 1.2×	42 0.5×	67	843
David Bauer United States	7	97 0.2×	470 0.9×	25 0.2×	25 0.3×	21 0.3×	8	729
Loc Phi‐van Germany	14	204 0.4×	523 1.0×	19 0.1×	15 0.2×	14 0.2×	24	726
B M Laoide France	9	196 0.4×	395 0.8×	10 0.1×	18 0.2×	25 0.3×	11	666
Yinghui Ling China	19	267 0.5×	466 0.9×	19 0.1×	45 0.5×	59 0.7×	64	904

Countries citing papers authored by James Vitale

Since Specialization

Citations

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

Fields of papers citing papers by James Vitale

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James Vitale

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

All Works

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10 of 10 papers shown

1.

Nagle, Deborah L., James Vitale, Elizabeth A. Woolf, et al.. (1999). The mahogany protein is a receptor involved in suppression of obesity. Nature. 398(6723). 148–152. 143 indexed citations

2.

Snyder, Ben, James Vitale, Patrice M. Milos, et al.. (1995). Developmental and tissue‐specific expression of human CD4 in transgenic rabbits. Molecular Reproduction and Development. 40(4). 419–428. 24 indexed citations

3.

Gillespie, Frances P., et al.. (1993). Tissue-Specific Expression of Human CD4 in Transgenic Mice. Molecular and Cellular Biology. 13(5). 2952–2958. 7 indexed citations

4.

Gillespie, Frances P., et al.. (1993). Tissue-specific expression of human CD4 in transgenic mice.. Molecular and Cellular Biology. 13(5). 2952–2958. 26 indexed citations

5.

Roberts, Bruce, Paul DiTullio, James Vitale, Kathleen Hehir, & Katherine Gordon. (1992). Cloning of the goat β-casein-encoding gene and expression in transgenic mice. Gene. 121(2). 255–262. 86 indexed citations

6.

Ebert, Karl M., J.P. Selgrath, Paul DiTullio, et al.. (1991). Transgenic Production of a Variant of Human Tissue-Type Plasminogen Activator in Goat Milk: Generation of Transgenic Goats and Analysis of Expression. Nature Biotechnology. 9(9). 835–838. 192 indexed citations

7.

Pittius, C.W., et al.. (1988). A milk protein gene promoter directs the expression of human tissue plasminogen activator cDNA to the mammary gland in transgenic mice.. Proceedings of the National Academy of Sciences. 85(16). 5874–5878. 153 indexed citations

8.

Gordon, Katherine, Eric Lee, James Vitale, et al.. (1987). Production of Human Tissue Plasminogen Activator in Transgenic Mouse Milk. Nature Biotechnology. 5(11). 1183–1187. 148 indexed citations

9.

Diz, Debra I., James Vitale, & David M. Jacobowitz. (1984). Increases in heart rate and blood pressure produced by injections of dermorphin into discrete hypothalamic sites. Brain Research. 294(1). 47–57. 18 indexed citations

10.

Vitale, James, et al.. (1972). A diagnostic reception unit in a residential center: A new role for professional child care and a mandate for a plan of service. Child & Youth Care Forum. 1(4). 235–251. 2 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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