A. J. Bierman

924 total citations · 1 hit paper
8 papers, 804 citations indexed

About

A. J. Bierman is a scholar working on Molecular Biology, Surgery and Pharmacology. According to data from OpenAlex, A. J. Bierman has authored 8 papers receiving a total of 804 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Surgery and 2 papers in Pharmacology. Recurrent topics in A. J. Bierman's work include Protein Kinase Regulation and GTPase Signaling (2 papers), Apelin-related biomedical research (2 papers) and Pancreatic function and diabetes (2 papers). A. J. Bierman is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (2 papers), Apelin-related biomedical research (2 papers) and Pancreatic function and diabetes (2 papers). A. J. Bierman collaborates with scholars based in Netherlands. A. J. Bierman's co-authors include Wouter H. Moolenaar, Siegfried W. de Laat, Ben C. Tilly, Ingrid Verlaan, W. Kruijer, Libert H.K. Defize, Joseph Schlessinger, Annemarie Honegger, A. Ullrich and E. J. Cragoe and has published in prestigious journals such as Nature, Journal of Biological Chemistry and The EMBO Journal.

In The Last Decade

A. J. Bierman

8 papers receiving 767 citations

Hit Papers

Growth factor-like action of phosphatidic acid 1986 2026 1999 2012 1986 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. J. Bierman Netherlands 6 621 140 127 120 80 8 804
PETER G. H. BYFIELD United Kingdom 13 875 1.4× 80 0.6× 89 0.7× 141 1.2× 61 0.8× 21 1.2k
Shing Mei Hwang United States 16 610 1.0× 69 0.5× 58 0.5× 310 2.6× 90 1.1× 33 907
M E Cornet Spain 11 518 0.8× 122 0.9× 63 0.5× 68 0.6× 50 0.6× 14 697
Gerard M. Housey United States 12 841 1.4× 144 1.0× 53 0.4× 209 1.7× 27 0.3× 15 1.0k
Denis D. Soderman United States 10 480 0.8× 95 0.7× 123 1.0× 70 0.6× 26 0.3× 11 693
Kim Brewer United States 4 905 1.5× 246 1.8× 138 1.1× 88 0.7× 27 0.3× 4 1.2k
Yasuo Fukumoto Japan 15 850 1.4× 253 1.8× 138 1.1× 125 1.0× 29 0.4× 21 1.1k
A Ando Japan 10 939 1.5× 240 1.7× 105 0.8× 104 0.9× 28 0.3× 11 1.1k
Chieko Aoyama Japan 14 513 0.8× 85 0.6× 50 0.4× 72 0.6× 93 1.2× 23 692
M López-Barahona Spain 13 492 0.8× 95 0.7× 35 0.3× 108 0.9× 39 0.5× 17 719

Countries citing papers authored by A. J. Bierman

Since Specialization
Citations

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

Fields of papers citing papers by A. J. Bierman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. J. Bierman

This figure shows the co-authorship network connecting the top 25 collaborators of A. J. Bierman. A scholar is included among the top collaborators of A. J. Bierman 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 A. J. Bierman. A. J. Bierman 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.
Bierman, A. J., et al.. (1990). Epidermal growth factor and bombesin differ strikingly in the induction of early responses in Swiss 3T3 cells. Journal of Cellular Physiology. 142(3). 441–448. 19 indexed citations
2.
Moolenaar, Wouter H., A. J. Bierman, Ben C. Tilly, et al.. (1988). A point mutation at the ATP-binding site of the EGF-receptor abolishes signal transduction.. The EMBO Journal. 7(3). 707–710. 185 indexed citations
3.
Bierman, A. J., E. J. Cragoe, Siegfried W. de Laat, & Wouter H. Moolenaar. (1988). Bicarbonate determines cytoplasmic pH and suppresses mitogen-induced alkalinization in fibroblastic cells.. Journal of Biological Chemistry. 263(30). 15253–15256. 61 indexed citations
4.
Bierman, A. J., Leon G.J. Tertoolen, Siegfried W. de Laat, & Wouter H. Moolenaar. (1987). The Na+/H+ exchanger is constitutively activated in P19 embryonal carcinoma cells, but not in a differentiated derivative. Responsiveness to growth factors and other stimuli.. Journal of Biological Chemistry. 262(20). 9621–9628. 30 indexed citations
5.
Moolenaar, Wouter H., Libert H.K. Defize, Ben C. Tilly, A. J. Bierman, & Siegfried W. de Laat. (1986). Transmembrane Signalling by Growth Factors. Annals of the New York Academy of Sciences. 488(1 Membrane Path). 491–502. 5 indexed citations
6.
Moolenaar, Wouter H., W. Kruijer, Ben C. Tilly, et al.. (1986). Growth factor-like action of phosphatidic acid. Nature. 323(6084). 171–173. 464 indexed citations breakdown →
7.
Moolenaar, Wouter H., Libert H.K. Defize, Ben C. Tilly, A. J. Bierman, & Siegfried W. de Laat. (1986). Transmembrane Signalling by Growth Factors. Annals of the New York Academy of Sciences. 488(1 Membrane Path). 491–502. 5 indexed citations
8.
Boonstra, Johannes, A. Feijen, A. J. Bierman, et al.. (1982). Effect of fatty acids on plasma membrane lipid dynamics and cation permeability in neuroblastoma cells. Biochimica et Biophysica Acta (BBA) - Biomembranes. 692(3). 321–329. 35 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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