David A. Bateman

471 total citations · 1 hit paper
9 papers, 382 citations indexed

About

David A. Bateman is a scholar working on Physiology, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, David A. Bateman has authored 9 papers receiving a total of 382 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Physiology, 3 papers in Molecular Biology and 3 papers in Computational Theory and Mathematics. Recurrent topics in David A. Bateman's work include Alzheimer's disease research and treatments (5 papers), Protein Structure and Dynamics (3 papers) and Computational Drug Discovery Methods (3 papers). David A. Bateman is often cited by papers focused on Alzheimer's disease research and treatments (5 papers), Protein Structure and Dynamics (3 papers) and Computational Drug Discovery Methods (3 papers). David A. Bateman collaborates with scholars based in Canada, United States and Spain. David A. Bateman's co-authors include Avijit Chakrabartty, Yuan Li Shen, Liang Li, Stacy S. Shord, Paresma Patel, Anamitro Banerjee, Gideon M. Blumenthal, Jiang Liu, Xin Gao and Christopher M. Sheth and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Clinical Cancer Research and Biophysical Journal.

In The Last Decade

David A. Bateman

8 papers receiving 382 citations

Hit Papers

FDA Approval Summary: (Daunorubicin and Cytarabine) Lipos... 2018 2026 2020 2023 2018 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David A. Bateman Canada 8 202 133 83 72 61 9 382
Charles H. Adelmann United States 9 309 1.5× 55 0.4× 67 0.8× 28 0.4× 14 0.2× 13 472
Patrizio Di Micco Italy 12 448 2.2× 60 0.5× 39 0.5× 18 0.3× 50 0.8× 21 595
Soan Cheng United States 9 326 1.6× 28 0.2× 68 0.8× 53 0.7× 51 0.8× 10 544
Silvia Sommaruga Italy 11 253 1.3× 119 0.9× 68 0.8× 16 0.2× 37 0.6× 13 413
Mordechai Deutsch Israel 11 141 0.7× 40 0.3× 100 1.2× 20 0.3× 10 0.2× 33 338
Joachim Lauterwasser Germany 7 339 1.7× 68 0.5× 61 0.7× 27 0.4× 9 0.1× 9 506
Krisztina Paál Germany 10 285 1.4× 98 0.7× 51 0.6× 20 0.3× 8 0.1× 18 451
Deborah R. Hamburger United States 8 333 1.6× 120 0.9× 61 0.7× 12 0.2× 9 0.1× 8 475
René Nieves-Alicea United States 12 346 1.7× 57 0.4× 87 1.0× 27 0.4× 8 0.1× 15 565
Gitanjali Jayachandran United States 11 338 1.7× 36 0.3× 65 0.8× 30 0.4× 13 0.2× 27 522

Countries citing papers authored by David A. Bateman

Since Specialization
Citations

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

Fields of papers citing papers by David A. Bateman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David A. Bateman

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

All Works

9 of 9 papers shown
1.
Bateman, David A., et al.. (2025). Effects of protein intake on IGF1 and ROP. Journal of Neonatal-Perinatal Medicine. 18(6). 543–552.
2.
Krauss, Aviva C., Xin Gao, Liang Li, et al.. (2018). FDA Approval Summary: (Daunorubicin and Cytarabine) Liposome for Injection for the Treatment of Adults with High-Risk Acute Myeloid Leukemia. Clinical Cancer Research. 25(9). 2685–2690. 252 indexed citations breakdown →
3.
Bateman, David A. & Avijit Chakrabartty. (2011). Cell Surface Binding and Internalization of Aβ Modulated by Degree of Aggregation. International Journal of Alzheimer s Disease. 2011(1). 962352–962352. 12 indexed citations
4.
Bateman, David A., Robert Tycko, & Reed B. Wickner. (2011). Experimentally Derived Structural Constraints for Amyloid Fibrils of Wild-Type Transthyretin. Biophysical Journal. 101(10). 2485–2492. 27 indexed citations
5.
Bateman, David A. & Avijit Chakrabartty. (2009). Two Distinct Conformations of Aβ Aggregates on the Surface of Living PC12 Cells. Biophysical Journal. 96(10). 4260–4267. 17 indexed citations
6.
Bateman, David A., JoAnne McLaurin, & Avijit Chakrabartty. (2007). Requirement of aggregation propensity of Alzheimer amyloid peptides for neuronal cell surface binding. BMC Neuroscience. 8(1). 29–29. 30 indexed citations
7.
Bateman, David A., et al.. (2007). Getting specificity from simplicity in putative proteins from the prebiotic Earth. Proceedings of the National Academy of Sciences. 104(38). 14941–14946. 14 indexed citations
8.
Scotter, Andrew J., Melanie M. Tomczak, Margaret E. Daley, et al.. (2007). Metal ion-dependent, reversible, protein filament formation by designed beta-roll polypeptides. BMC Structural Biology. 7(1). 63–63. 16 indexed citations
9.
Bateman, David A. & Avijit Chakrabartty. (2004). Interactions of Alzheimer amyloid peptides with cultured cells and brain tissue, and their biological consequences. Biopolymers. 76(1). 4–14. 14 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026