Donald N. McQuitty

609 total citations
15 papers, 507 citations indexed

About

Donald N. McQuitty is a scholar working on Molecular Biology, Biomedical Engineering and Pollution. According to data from OpenAlex, Donald N. McQuitty has authored 15 papers receiving a total of 507 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Biomedical Engineering and 4 papers in Pollution. Recurrent topics in Donald N. McQuitty's work include Immune Cell Function and Interaction (4 papers), T-cell and B-cell Immunology (3 papers) and Pancreatic function and diabetes (3 papers). Donald N. McQuitty is often cited by papers focused on Immune Cell Function and Interaction (4 papers), T-cell and B-cell Immunology (3 papers) and Pancreatic function and diabetes (3 papers). Donald N. McQuitty collaborates with scholars based in United States. Donald N. McQuitty's co-authors include M V Hobbs, David Ernst, Daniel J. Noonan, Peter Jurtshuk, W O Weigle, William O. Weigle, Annette L. Rothermel, James E. Bailey, J. Oró and J. C. Allred and has published in prestigious journals such as Science, The Journal of Immunology and Applied and Environmental Microbiology.

In The Last Decade

Donald N. McQuitty

14 papers receiving 479 citations

Peers

Countries citing papers authored by Donald N. McQuitty

Since Specialization

Citations

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

Fields of papers citing papers by Donald N. McQuitty

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Donald N. McQuitty. 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 Donald N. McQuitty. The network helps show where Donald N. McQuitty may publish in the future.

Co-authorship network of co-authors of Donald N. McQuitty

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

All Works

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15 of 15 papers shown

#	Work	Indexed citations
1	The age-associated increase in IFN-gamma synthesis by mouse CD8+ T cells correlates with shifts in the frequencies of cell subsets defined by membrane CD44, CD45RB, 3G11, and MEL-14 expression. 1993 ·The Journal of Immunology ·David Ernst, W O Weigle, Daniel J. Noonan, Donald N. McQuitty, M V Hobbs	153
2	Cell proliferation and cytokine production by CD4⁺ cells from old mice 1991 ·Journal of Cellular Biochemistry ·M V Hobbs, David Ernst, Bruce E. Torbett, Andrew L. Glasebrook, (unknown), Donald N. McQuitty, Marilyn L. Thoman, Kim Bottomly, Annette L. Rothermel, Daniel J. Noonan, William O. Weigle	55
3	Stimulation of murine T cell subsets with anti-CD3 antibody. Age-related defects in the expression of early activation molecules. 1989 ·The Journal of Immunology ·David Ernst, William O. Weigle, Donald N. McQuitty, Annette L. Rothermel, M V Hobbs	69
4	Expression of membrane activation antigens on murine B lymphocytes stimulated with lipopolysaccharide 1988 ·Cellular Immunology ·David Ernst, Donald N. McQuitty, William O. Weigle, M V Hobbs	13
5	Flow microfluorometry measurements of multicomponent cell composition during batch bacterial growth 1980 ·Biotechnology and Bioengineering ·(unknown), James E. Bailey, Donald N. McQuitty	10
6	MEASURING MICROBIAL POPULATION DYNAMICS 1979 ·Annals of the New York Academy of Sciences ·James E. Bailey, (unknown), Donald N. McQuitty, (unknown)	22
7	Use of 3,3′-diaminobenzidine as a biochemical electron donor for studies on terminal cytochrome oxidase activity inAzotobacter vinelandii 1979 ·Current Microbiology ·Peter Jurtshuk, Donald N. McQuitty, (unknown)	5
8	Cell composition studies in batch microbial reactors: Biphasic growth of Bacillus subtilis 1979 ·Enzyme and Microbial Technology ·James E. Bailey, Donald N. McQuitty	0
9	Measurement of structured microbial population dynamics by flow microfluorometry 1978 ·AIChE Journal ·James E. Bailey, (unknown), Donald N. McQuitty, (unknown), J. Oró	38
10	Flow microfluorometry study of diauxic batch growth of Saccharomyces cerevisiae 1978 ·Applied and Environmental Microbiology ·(unknown), Donald N. McQuitty, James E. Bailey	17
11	Characterization of Bacterial Growth by Means of Flow Microfluorometry 1977 ·Science ·James E. Bailey, (unknown), Donald N. McQuitty, (unknown), J. C. Allred, J. Oró	59
12	Survey of Oxidase-Positive and -Negative Bacteria Using a Quantitative Kovacs Oxidase Test 1976 ·International Journal of Systematic Bacteriology ·Peter Jurtshuk, Donald N. McQuitty	17
13	Use of a quantitative oxidase test for characterizing oxidative metabolism in bacteria 1976 ·Applied and Environmental Microbiology ·Peter Jurtshuk, Donald N. McQuitty	28
14	Tetramethyl-p-phenylenediamine oxidase reaction in Azotobacter vinelandii 1975 ·Applied Microbiology ·Peter Jurtshuk, (unknown), Donald N. McQuitty	14
15	Tetramethyl-p-phenylenediamine oxidase reaction in Azotobacter vinelandii. 1975 ·Applied Microbiology ·Peter Jurtshuk, (unknown), Donald N. McQuitty	7

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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