Daniel Williams

1.8k total citations · 1 hit paper
14 papers, 1.5k citations indexed

About

Daniel Williams is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Daniel Williams has authored 14 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Genetics and 3 papers in Immunology. Recurrent topics in Daniel Williams's work include Virus-based gene therapy research (4 papers), Microbial Community Ecology and Physiology (2 papers) and Protist diversity and phylogeny (2 papers). Daniel Williams is often cited by papers focused on Virus-based gene therapy research (4 papers), Microbial Community Ecology and Physiology (2 papers) and Protist diversity and phylogeny (2 papers). Daniel Williams collaborates with scholars based in United States, United Kingdom and India. Daniel Williams's co-authors include Stuart H. Orkin, Steven C. Clark, Clive R. Wood, R M O'Hara, Frances Bennett, Kerry Kelleher, Stephan Paul, Richard C. Mulligan, KM Zsebo and David Brankow and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Agricultural and Food Chemistry and Chemical Science.

In The Last Decade

Daniel Williams

12 papers receiving 1.4k citations

Hit Papers

Molecular cloning of a cDNA encoding interleukin 11, a st... 1990 2026 2002 2014 1990 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Molecular cloning of a cDNA encoding interleukin 11, a stromal cell-derived lymphopoietic and hematopoietic cytokine.
    1990 535 citations Stephan Paul, Frances Bennett et al. Proceedings of the National Academy of Sciences profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Williams United States 12 670 580 385 356 310 14 1.5k
Yu‐Chung Yang United States 22 702 1.0× 539 0.9× 303 0.8× 487 1.4× 210 0.7× 36 1.5k
C. Jones United States 30 1.3k 2.0× 366 0.6× 586 1.5× 300 0.8× 247 0.8× 66 2.3k
G H Fey United States 21 866 1.3× 956 1.6× 351 0.9× 501 1.4× 286 0.9× 30 2.2k
George N. Goulielmos Greece 26 512 0.8× 873 1.5× 263 0.7× 205 0.6× 141 0.5× 127 2.1k
K L Blanchard United States 8 988 1.5× 214 0.4× 265 0.7× 153 0.4× 259 0.8× 9 1.8k
D E Woods United States 18 852 1.3× 511 0.9× 244 0.6× 144 0.4× 261 0.8× 26 1.6k
Sonja C. Stadler Germany 19 1.4k 2.2× 1.2k 2.0× 338 0.9× 283 0.8× 136 0.4× 27 2.9k
M Pettersson Sweden 21 1.3k 1.9× 229 0.4× 279 0.7× 424 1.2× 319 1.0× 25 1.8k
S C Clark United States 15 294 0.4× 972 1.7× 182 0.5× 354 1.0× 486 1.6× 15 1.7k
Elizabeth C. Orr United States 12 1.1k 1.6× 643 1.1× 455 1.2× 409 1.1× 1.4k 4.6× 14 2.9k

Countries citing papers authored by Daniel Williams

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Williams

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

All Works

14 of 14 papers shown
1.
Walton, Paul H., et al.. (2024). Bioactive Compounds Isolated from a Marine Sponge Selectively Inhibit Neisseria gonorrhoeae. Antibiotics. 13(12). 1229–1229.
2.
Williams, Daniel, et al.. (2021). Antigonococcal Activity of (+)-Medicarpin. ACS Omega. 6(23). 15274–15278. 12 indexed citations
3.
Williams, Daniel, et al.. (2020). Metabolic inhibitors of bacterial glycan biosynthesis. Chemical Science. 11(7). 1761–1774. 45 indexed citations
4.
Tetteh, Antonia Y., Chiu‐Yueh Hung, Farooqahmed S. Kittur, et al.. (2014). Transcriptional Response of Selenopolypeptide Genes and Selenocysteine Biosynthesis Machinery Genes inEscherichia coliduring Selenite Reduction. International Journal of Microbiology. 2014. 1–11. 15 indexed citations
5.
Gavilano, Lily, Sam M. Witherspoon, Daniel Williams, et al.. (2013). Inhibition of oncogenic Pim-3 kinase modulates transformed growth and chemosensitizes pancreatic cancer cells to gemcitabine. Cancer Biology & Therapy. 14(6). 492–501. 27 indexed citations
6.
Myung, Kyung, et al.. (2012). Metabolism of Strobilurins by Wheat Cell Suspension Cultures. Journal of Agricultural and Food Chemistry. 61(1). 47–52. 17 indexed citations
7.
Williams, Daniel & John C. Clamp. (2007). A Molecular Phylogenetic Investigation of Opisthonecta and Related Genera (Ciliophora, Peritrichia, Sessilida). Journal of Eukaryotic Microbiology. 54(3). 317–323. 24 indexed citations
8.
Clamp, John C. & Daniel Williams. (2006). A Molecular Phylogenetic Investigation of Zoothamnium (Ciliophora, Peritrichia, Sessilida)1. Journal of Eukaryotic Microbiology. 53(6). 494–498. 38 indexed citations
9.
Williams, Daniel, Tao Wen, Feng‐Chun Yang, et al.. (2000). Dominant negative mutation of the hematopoietic-specific Rho GTPase, Rac2, is associated with a human phagocyte immunodeficiency.. PubMed. 96(5). 1646–54. 262 indexed citations
10.
Kapur, Reuben, et al.. (2000). RAC2 Regulates the activation of akt and the balance between pro- and anti-apoptotic proteins bad and bcl-xl. Experimental Hematology. 28(7). 67–67.
11.
Toksoz, Deniz, KM Zsebo, K A Smith, et al.. (1992). Support of human hematopoiesis in long-term bone marrow cultures by murine stromal cells selectively expressing the membrane-bound and secreted forms of the human homolog of the steel gene product, stem cell factor.. Proceedings of the National Academy of Sciences. 89(16). 7350–7354. 257 indexed citations
12.
Paul, Stephan, Frances Bennett, Kerry Kelleher, et al.. (1990). Molecular cloning of a cDNA encoding interleukin 11, a stromal cell-derived lymphopoietic and hematopoietic cytokine.. Proceedings of the National Academy of Sciences. 87(19). 7512–7516. 535 indexed citations breakdown →
13.
Lim, Bing, Jane F. Apperley, Stuart H. Orkin, & Daniel Williams. (1989). Long-term expression of human adenosine deaminase in mice transplanted with retrovirus-infected hematopoietic stem cells.. Proceedings of the National Academy of Sciences. 86(22). 8892–8896. 116 indexed citations
14.
Williams, Daniel, Stuart H. Orkin, & Richard C. Mulligan. (1986). Retrovirus-mediated transfer of human adenosine deaminase gene sequences into cells in culture and into murine hematopoietic cells in vivo.. Proceedings of the National Academy of Sciences. 83(8). 2566–2570. 158 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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