L. Williams

496 total citations
11 papers, 407 citations indexed

About

L. Williams is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Immunology. According to data from OpenAlex, L. Williams has authored 11 papers receiving a total of 407 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Immunology. Recurrent topics in L. Williams's work include Glycosylation and Glycoproteins Research (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Toxin Mechanisms and Immunotoxins (2 papers). L. Williams is often cited by papers focused on Glycosylation and Glycoproteins Research (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Toxin Mechanisms and Immunotoxins (2 papers). L. Williams collaborates with scholars based in United States, United Kingdom and France. L. Williams's co-authors include Gary E. Landreth, André E. Nel, R. A. Jeffrey McIlhinney, G. Michael Hass, Robert J. Kinders, Michael J. Corey, Tiffanie K. Jones, David L. Enfield, Richard K. Root and E F Hounsell and has published in prestigious journals such as Neuron, The Journal of Cell Biology and Clinical Cancer Research.

In The Last Decade

L. Williams

11 papers receiving 377 citations

Peers

L. Williams

MB

SURGE

RNMI

ONCOL

CB

Luisa Iamele Italy

K. Tate United States

Françoise Phan-Dinh-Tuy France

Lance C. Bridges United States

Clara Schreiner United States

Glynis McCray United States

Raymond J. Peroutka United States

P. J. Shadle United States

Wenke Weidemann Germany

Shi-Rong Cai United States

Luisa Iamele Italy

L. Williams

225 ×1.0

MB

45 ×0.5

SURGE

59 ×0.8

RNMI

63 ×1.0

ONCOL

40 ×0.6

CB

Citations per year, relative to L. Williams L. Williams (= 1×) peers Luisa Iamele

Countries citing papers authored by L. Williams

Since Specialization

Citations

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

Fields of papers citing papers by L. Williams

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of L. Williams

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

All Works

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11 of 11 papers shown

1.

Brandhuber, Barbara J., Brian B. Tuch, Kevin Ebata, et al.. (2016). The development of a potent, KDR/VEGFR2-sparing RET kinase inhibitor for treating patients with RET-dependent cancers. European Journal of Cancer. 69. S144–S144. 17 indexed citations

2.

Norris, Russell A., Ricardo A. Moreno‐Rodriguez, Andy Wessels, et al.. (2010). Expression of the familial cardiac valvular dystrophy gene, filamin‐A, during heart morphogenesis. Developmental Dynamics. 239(7). 2118–2127. 37 indexed citations

3.

Kinders, Robert J., Tiffanie K. Jones, Richard K. Root, et al.. (1998). Complement factor H or a related protein is a marker for transitional cell cancer of the bladder.. Clinical Cancer Research. 4(10). 2511–20. 103 indexed citations

4.

Aaskov, John, et al.. (1997). A candidate Ross River virus vaccine: preclinical evaluation. Vaccine. 15(12-13). 1396–1404. 21 indexed citations

5.

Nel, André E., et al.. (1991). Nerve growth factor stimulates the tyrosine phosphorylation of MAP2 kinase in PC12 cells. Neuron. 6(6). 915–922. 52 indexed citations

6.

Landreth, Gary E. & L. Williams. (1987). Nerve growth factor stimulates the phosphorylation of a 250 kDa cytoskeletal protein in cell-free extracts of PC12 cells. Neurochemical Research. 12(10). 943–950. 15 indexed citations

7.

Landreth, Gary E., L. Williams, & Carol M. McCutchen. (1985). Wheat germ agglutinin blocks the biological effects of nerve growth factor.. The Journal of Cell Biology. 101(5). 1690–1694. 17 indexed citations

8.

Landreth, Gary E., et al.. (1985). Association of the epidermal growth factor receptor kinase with the detergent-insoluble cytoskeleton of A431 cells.. The Journal of Cell Biology. 101(4). 1341–1350. 78 indexed citations

9.

Blaineau, Christine, Francine Connan, D. Arnaud, et al.. (1984). Definition of three species‐specific monoclonal antibodies recognizing antigenic structures present on human embryonal carcinoma cells which undergo modulation during in vitro differentiation. International Journal of Cancer. 34(4). 487–494. 7 indexed citations

10.

Gooi, H.C., L. Williams, Keiichi Uemura, et al.. (1983). A marker of human foetal endoderm defined by a monoclonal antibody involves type 1 blood group chains. Molecular Immunology. 20(6). 607–613. 42 indexed citations

11.

Williams, L., A. Sullivan, R. A. Jeffrey McIlhinney, & Alan Nevill. (1982). A monoclonal antibody marker of human primitive endoderm. International Journal of Cancer. 30(6). 731–738. 18 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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