Matthew J.F. Waterman

1.9k total citations · 1 hit paper
8 papers, 1.5k citations indexed

About

Matthew J.F. Waterman is a scholar working on Molecular Biology, Oncology and Immunology and Allergy. According to data from OpenAlex, Matthew J.F. Waterman has authored 8 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, 4 papers in Oncology and 3 papers in Immunology and Allergy. Recurrent topics in Matthew J.F. Waterman's work include Angiogenesis and VEGF in Cancer (4 papers), Cancer-related Molecular Pathways (4 papers) and Cell Adhesion Molecules Research (3 papers). Matthew J.F. Waterman is often cited by papers focused on Angiogenesis and VEGF in Cancer (4 papers), Cancer-related Molecular Pathways (4 papers) and Cell Adhesion Molecules Research (3 papers). Matthew J.F. Waterman collaborates with scholars based in United States. Matthew J.F. Waterman's co-authors include Thanos D. Halazonetis, Ramani Ramchandran, Vikas P. Sukhatme, Mark S. Segal, Hua Lu, Mohanraj Dhanabal, Bertrand Knebelmann, Elena S. Stavridi, Ruediger Volk and Barden Chan and has published in prestigious journals such as Journal of Biological Chemistry, Nature Medicine and Nature Genetics.

In The Last Decade

Matthew J.F. Waterman

8 papers receiving 1.5k citations

Hit Papers

Endostatin Induces Endothelial Cell Apoptosis 1999 2026 2008 2017 1999 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew J.F. Waterman United States 8 1.2k 514 475 271 177 8 1.5k
Alessandra Marchetti Italy 21 1.3k 1.0× 748 1.5× 359 0.8× 244 0.9× 269 1.5× 44 2.0k
Jeffrey A. Torri United States 10 811 0.7× 592 1.2× 383 0.8× 264 1.0× 292 1.6× 13 1.4k
Carl O. Postenka Canada 22 778 0.6× 785 1.5× 459 1.0× 121 0.4× 202 1.1× 27 1.6k
Julio A. Aguirre Ghiso Argentina 12 606 0.5× 543 1.1× 686 1.4× 371 1.4× 213 1.2× 16 1.3k
Ruediger Volk United States 8 861 0.7× 148 0.3× 501 1.1× 380 1.4× 191 1.1× 8 1.2k
Otto Sanchez-Sweatman Canada 14 697 0.6× 495 1.0× 345 0.7× 153 0.6× 149 0.8× 18 1.1k
Vicki L. Rothman United States 25 1.4k 1.1× 383 0.7× 786 1.7× 375 1.4× 305 1.7× 48 2.1k
Vihren N. Kolev United States 18 851 0.7× 403 0.8× 204 0.4× 104 0.4× 182 1.0× 39 1.4k
Caroline Delmas France 22 794 0.6× 408 0.8× 433 0.9× 141 0.5× 160 0.9× 37 1.4k
Brian Ell United States 10 1.1k 0.9× 572 1.1× 758 1.6× 154 0.6× 292 1.6× 13 1.6k

Countries citing papers authored by Matthew J.F. Waterman

Since Specialization
Citations

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

Fields of papers citing papers by Matthew J.F. Waterman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew J.F. Waterman. 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 Matthew J.F. Waterman. The network helps show where Matthew J.F. Waterman may publish in the future.

Co-authorship network of co-authors of Matthew J.F. Waterman

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

All Works

8 of 8 papers shown
1.
Hanai, Jun‐ichi, S. Ananth Karumanchi, Chris Albanese, et al.. (2002). Endostatin Causes G1 Arrest of Endothelial Cells through Inhibition of Cyclin D1. Journal of Biological Chemistry. 277(19). 16464–16469. 182 indexed citations
2.
Satyamoorthy, Kapaettu, Nabil Chehab, Matthew J.F. Waterman, et al.. (2000). Aberrant regulation and function of wild-type p53 in radioresistant melanoma cells.. PubMed. 11(9). 467–74. 78 indexed citations
3.
Ramchandran, Ramani, Mohanraj Dhanabal, Ruediger Volk, et al.. (1999). Antiangiogenic Activity of Restin, NC10 Domain of Human Collagen XV: Comparison to Endostatin. Biochemical and Biophysical Research Communications. 255(3). 735–739. 213 indexed citations
4.
Dhanabal, Mohanraj, Ramani Ramchandran, Matthew J.F. Waterman, et al.. (1999). Endostatin Induces Endothelial Cell Apoptosis. Journal of Biological Chemistry. 274(17). 11721–11726. 502 indexed citations breakdown →
5.
Lu, Hua, Mohanraj Dhanabal, Ruediger Volk, et al.. (1999). Kringle 5 Causes Cell Cycle Arrest and Apoptosis of Endothelial Cells. Biochemical and Biophysical Research Communications. 258(3). 668–673. 63 indexed citations
6.
Waterman, Matthew J.F., et al.. (1998). ATM-dependent activation of p53 involves dephosphorylation and association with 14-3-3 proteins. Nature Genetics. 19(2). 175–178. 379 indexed citations
7.
Wieczorek, Ania M., et al.. (1996). Structure–based rescue of common tumor–derived p53 mutants. Nature Medicine. 2(10). 1143–1146. 74 indexed citations
8.
Waterman, Matthew J.F., et al.. (1996). An engineered four-stranded coiled coil substitutes for the tetramerization domain of wild-type p53 and alleviates transdominant inhibition by tumor-derived p53 mutants.. PubMed. 56(1). 158–63. 51 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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