Diana M. Smith

603 total citations
9 papers, 479 citations indexed

About

Diana M. Smith is a scholar working on Molecular Biology, Spectroscopy and Immunology and Allergy. According to data from OpenAlex, Diana M. Smith has authored 9 papers receiving a total of 479 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Spectroscopy and 2 papers in Immunology and Allergy. Recurrent topics in Diana M. Smith's work include Advanced Proteomics Techniques and Applications (4 papers), Mass Spectrometry Techniques and Applications (3 papers) and Glycosylation and Glycoproteins Research (2 papers). Diana M. Smith is often cited by papers focused on Advanced Proteomics Techniques and Applications (4 papers), Mass Spectrometry Techniques and Applications (3 papers) and Glycosylation and Glycoproteins Research (2 papers). Diana M. Smith collaborates with scholars based in United States. Diana M. Smith's co-authors include Lois B. Epstein, Steven C. Hall, Karl R. Clauser, Lori Andrews, Hanh Tran, James W. Webb, A. L. Burlingame, Carol Harris, Marc R. Krauss and Alma L. Burlingame and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Immunology.

In The Last Decade

Diana M. Smith

9 papers receiving 459 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Diana M. Smith United States 8 278 209 63 33 31 9 479
Rosa C. M. Y. Liang Singapore 11 409 1.5× 150 0.7× 41 0.7× 33 1.0× 48 1.5× 15 559
Josef Van Damme Denmark 9 268 1.0× 122 0.6× 43 0.7× 24 0.7× 56 1.8× 9 376
Lynn A. Echan United States 6 440 1.6× 389 1.9× 20 0.3× 16 0.5× 27 0.9× 6 621
Jean‐Charles Sanchez Switzerland 8 430 1.5× 289 1.4× 21 0.3× 38 1.2× 24 0.8× 8 615
Kishore Gollapalli India 12 285 1.0× 107 0.5× 43 0.7× 13 0.4× 27 0.9× 14 517
Lynn A. Beer United States 13 259 0.9× 137 0.7× 50 0.8× 10 0.3× 45 1.5× 21 442
Ib Groth Clausen Denmark 10 397 1.4× 70 0.3× 85 1.3× 30 0.9× 35 1.1× 12 570
Inga Kireeva Canada 9 404 1.5× 323 1.5× 37 0.6× 12 0.4× 69 2.2× 10 689
Stefan K. Maier Germany 6 295 1.1× 302 1.4× 16 0.3× 30 0.9× 18 0.6× 8 488
Michael Z. Wang United States 14 338 1.2× 215 1.0× 61 1.0× 37 1.1× 75 2.4× 21 667

Countries citing papers authored by Diana M. Smith

Since Specialization
Citations

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

Fields of papers citing papers by Diana M. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Diana M. Smith. 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 Diana M. Smith. The network helps show where Diana M. Smith may publish in the future.

Co-authorship network of co-authors of Diana M. Smith

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

All Works

9 of 9 papers shown
1.
Matsui, Neil M., Diana M. Smith, Karl R. Clauser, et al.. (1997). Immobilized pH gradient two‐dimensional gel electrophoresis and mass spectrometric identification of cytokine‐regulated proteins in ME‐180 cervical carcinoma cells. Electrophoresis. 18(3-4). 409–417. 55 indexed citations
2.
3.
Clauser, Karl R., Steven C. Hall, Diana M. Smith, et al.. (1995). Rapid mass spectrometric peptide sequencing and mass matching for characterization of human melanoma proteins isolated by two-dimensional PAGE.. Proceedings of the National Academy of Sciences. 92(11). 5072–5076. 159 indexed citations
4.
5.
Hall, Steven C., Diana M. Smith, Frank R. Masiarz, et al.. (1993). Mass spectrometric and Edman sequencing of lipocortin I isolated by two-dimensional SDS/PAGE of human melanoma lysates.. Proceedings of the National Academy of Sciences. 90(5). 1927–1931. 60 indexed citations
6.
Harris, Carol, et al.. (1991). Manganese superoxide dismutase is induced by IFN-gamma in multiple cell types. Synergistic induction by IFN-gamma and tumor necrosis factor or IL-1. The Journal of Immunology. 147(1). 149–154. 118 indexed citations
7.
Smith, Diana M., et al.. (1990). Antiviral and Antiproliferative Properties of Liposome-Associated Human Interferon-α. Journal of Interferon Research. 10(2). 153–160. 7 indexed citations
8.
Smith, Diana M., et al.. (1990). Coordinated induction of autocrine tumor necrosis factor and interleukin 1 in normal human monocytes and the implications for monocyte-mediated cytotoxicity.. PubMed. 50(11). 3146–53. 33 indexed citations
9.
Mitchell, William M., et al.. (1985). Application of an objective biological assay of human interferons to clinical specimens and a survey of a normal population. Journal of Clinical Microbiology. 21(5). 689–693. 15 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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