Donna S. Smith

434 citations
26 papers · 307 · h-index 11

Impact in

Papers in

    • Plant Disease Resistance and Genetics 5
    • Plant Pathogens and Resistance 4
    • Genetically Modified Organisms Research 4
    • Ion channel regulation and function 4

Donna S. Smith

26 papers receiving 281 citations

Peers

Donna S. Smith
Comparison fields: 5 of 69
  • Environmental Chemistry 63
  • Hematology 54
  • Cell Biology 53
  • Plant Science 119
  • Toxicology 11
Replace Narsinh L. Thakur with:
Narsinh L. Thakur Germany
Mireille Crampe Ireland
Hsiang-Ju Tsai Taiwan
Yujun Liang China
P. Mason United States
Zhengxi Sun China
Eunyoung Choi South Korea
Minxuan Yang China
Chantal de Montigny Canada
P. Darling Canada
Donna S. Smith relative to Narsinh L. Thakur Germany Narsinh L. Thakur's profile →
Citations per field
00.5×9.2×
Narsinh L. Thakur · 1×
Citations per year

Countries citing papers authored by Donna S. Smith

Since Specialization
Citations

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

Fields of papers citing papers by Donna S. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Donna S. Smith, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Donna S. Smith Line = papers co-authored together Donna S. Smith links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200548
2 201934
3 199420
4 200520
5 201320
6 199518
7 196917
8 196516
9 196814
10 198813
11
19S gamma M, followed by 7S gamma G anti-Jk antibodies associated with pregnancy.
196811
12 201610
13 197210
14 20089
15 20099
16 19897
17 19637
18 19675
19 20045
20 19924

About Donna S. Smith

Donna S. Smith is a scholar working on Plant Science, Molecular Biology, Environmental Chemistry, Hematology and Cell Biology, having authored 26 papers that have together received 307 indexed citations. Recurring topics across this work include Marine Toxins and Detection Methods (7 papers), Blood groups and transfusion (6 papers), Plant Disease Resistance and Genetics (5 papers), Plant Pathogens and Fungal Diseases (4 papers), Erythrocyte Function and Pathophysiology (4 papers), Plant Pathogens and Resistance (4 papers), Ion channel regulation and function (4 papers) and Genetically Modified Organisms Research (4 papers). The work is most often cited by research in Environmental Chemistry (63 citations), Hematology (54 citations), Cell Biology (53 citations), Plant Science (119 citations) and Toxicology (11 citations). Donna S. Smith has collaborated with scholars based in Canada, Netherlands and Nigeria. Frequent co-authors include S. H. De Boer, David D. Kitts, F. Stratton, Violet I. Rawlinson, C. André Lévesque, P. M. Townsley, David D. Kitts, O. P. Galpin, Théo van der Lee and Patrick O’Brien. Their work appears in journals such as Toxicon, Journal of Agricultural and Food Chemistry, Phytopathology, Journal of Clinical Pathology and Vox Sanguinis.

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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