Nancy A. DaSilva

778 total citations
10 papers, 539 citations indexed

About

Nancy A. DaSilva is a scholar working on Molecular Biology, Plant Science and Biomedical Engineering. According to data from OpenAlex, Nancy A. DaSilva has authored 10 papers receiving a total of 539 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Plant Science and 3 papers in Biomedical Engineering. Recurrent topics in Nancy A. DaSilva's work include Biofuel production and bioconversion (3 papers), Microbial Metabolic Engineering and Bioproduction (2 papers) and Polysaccharides and Plant Cell Walls (2 papers). Nancy A. DaSilva is often cited by papers focused on Biofuel production and bioconversion (3 papers), Microbial Metabolic Engineering and Bioproduction (2 papers) and Polysaccharides and Plant Cell Walls (2 papers). Nancy A. DaSilva collaborates with scholars based in United States, South Korea and Germany. Nancy A. DaSilva's co-authors include Wilfred Chen, Shen‐Long Tsai, Meghna Virick, Garima Goyal, Bhawna Madan, Cord C. Uphoff, Raymond G. Goodwin, H J Gruss, H G Drexler and Ashok Mulchandani and has published in prestigious journals such as Biotechnology and Bioengineering, Human Relations and Metabolic Engineering.

In The Last Decade

Nancy A. DaSilva

10 papers receiving 530 citations

Peers

Nancy A. DaSilva
Comparison fields: 5 of 93
  • Molecular Biology 273
  • Biomedical Engineering 154
  • Sociology and Political Science 96
  • Biotechnology 60
  • Organizational Behavior and Human Resource Management 58
Replace Nicolás Didier with:
Nicolás Didier Chile
Jiyun Yu China
Wen‐Hsin Chang Taiwan
Shaoshan Wang China
Kyoungmi Lee South Korea
Hongwen Ma China
M. van de Bovenkamp Netherlands
Mary Beth Knight United States
Eun-Jung Shin South Korea
Harun Achmad Indonesia
Nicolás Didier Chile View profile →
Citations per field, relative to Nancy A. DaSilva
Nancy A. DaSilva · 1×
Citations per year, relative to Nancy A. DaSilva
Nancy A. DaSilva · 1×

Countries citing papers authored by Nancy A. DaSilva

Since Specialization
Citations

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

Fields of papers citing papers by Nancy A. DaSilva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nancy A. DaSilva. 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 Nancy A. DaSilva. The network helps show where Nancy A. DaSilva may publish in the future.

Co-authorship network of co-authors of Nancy A. DaSilva

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

All Works

10 of 10 papers shown
# Work Indexed citations
1 86
2 87
3 3
4 20
5 127
6 33
7 32
8 66
9
Expression and regulation of CD30 ligand and CD30 in human leukemia-lymphoma cell lines.
53
10
Expression of the FLT3 gene in human leukemia-lymphoma cell lines.
32

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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