Abiola M. Pollard

793 total citations
9 papers, 614 citations indexed

About

Abiola M. Pollard is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Abiola M. Pollard has authored 9 papers receiving a total of 614 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Genetics and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Abiola M. Pollard's work include Bacterial Genetics and Biotechnology (6 papers), Lipid Membrane Structure and Behavior (3 papers) and Photoreceptor and optogenetics research (2 papers). Abiola M. Pollard is often cited by papers focused on Bacterial Genetics and Biotechnology (6 papers), Lipid Membrane Structure and Behavior (3 papers) and Photoreceptor and optogenetics research (2 papers). Abiola M. Pollard collaborates with scholars based in United States and Germany. Abiola M. Pollard's co-authors include A.M. Bilwes, Brian R. Crane, Peter P. Borbat, Jaya Bhatnagar, Jack H. Freed, Victor Sourjik, Gabriela Gonzalez-Bonet, Sang‐Youn Park, Yiling Yang and Rüdiger Hell and has published in prestigious journals such as Cell, Journal of Biological Chemistry and Biochemistry.

In The Last Decade

Abiola M. Pollard

9 papers receiving 607 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Abiola M. Pollard United States 9 393 239 106 71 70 9 614
Susan Black United Kingdom 14 684 1.7× 143 0.6× 67 0.6× 63 0.9× 59 0.8× 14 902
Victor Krasnikov Netherlands 15 700 1.8× 209 0.9× 74 0.7× 101 1.4× 48 0.7× 20 882
David Kentner Germany 9 471 1.2× 278 1.2× 55 0.5× 69 1.0× 22 0.3× 10 608
Gabriela Gonzalez-Bonet United States 4 271 0.7× 206 0.9× 77 0.7× 79 1.1× 55 0.8× 4 398
Yves J. M. Bollen Netherlands 13 620 1.6× 135 0.6× 56 0.5× 60 0.8× 189 2.7× 16 725
Hansjörg Götzke Sweden 9 431 1.1× 152 0.6× 38 0.4× 68 1.0× 30 0.4× 12 625
Anja Nenninger United Kingdom 15 605 1.5× 212 0.9× 56 0.5× 216 3.0× 35 0.5× 20 797
Vinesh Vijayan India 15 577 1.5× 262 1.1× 32 0.3× 64 0.9× 233 3.3× 42 958
Michaeleen Doucleff United States 14 619 1.6× 210 0.9× 39 0.4× 78 1.1× 160 2.3× 20 810
Mingshan Li United States 11 700 1.8× 370 1.5× 65 0.6× 71 1.0× 19 0.3× 17 848

Countries citing papers authored by Abiola M. Pollard

Since Specialization
Citations

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

Fields of papers citing papers by Abiola M. Pollard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Abiola M. Pollard. 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 Abiola M. Pollard. The network helps show where Abiola M. Pollard may publish in the future.

Co-authorship network of co-authors of Abiola M. Pollard

This figure shows the co-authorship network connecting the top 25 collaborators of Abiola M. Pollard. A scholar is included among the top collaborators of Abiola M. Pollard 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 Abiola M. Pollard. Abiola M. Pollard 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.
Pollard, Abiola M. & Victor Sourjik. (2017). Transmembrane region of bacterial chemoreceptor is capable of promoting protein clustering. Journal of Biological Chemistry. 293(6). 2149–2158. 10 indexed citations
2.
Bi, Shuangyu, Abiola M. Pollard, Yiling Yang, Fan Jin, & Victor Sourjik. (2016). Engineering Hybrid Chemotaxis Receptors in Bacteria. ACS Synthetic Biology. 5(9). 989–1001. 50 indexed citations
3.
Yang, Yiling, Abiola M. Pollard, Gernot Poschet, et al.. (2015). Relation between chemotaxis and consumption of amino acids in bacteria. Molecular Microbiology. 96(6). 1272–1282. 115 indexed citations
4.
Bhatnagar, Jaya, Peter P. Borbat, Abiola M. Pollard, et al.. (2010). Structure of the Ternary Complex Formed by a Chemotaxis Receptor Signaling Domain, the CheA Histidine Kinase, and the Coupling Protein CheW As Determined by Pulsed Dipolar ESR Spectroscopy. Biochemistry. 49(18). 3824–3841. 61 indexed citations
5.
Pollard, Abiola M., A.M. Bilwes, & Brian R. Crane. (2009). The Structure of a Soluble Chemoreceptor Suggests a Mechanism for Propagating Conformational Signals. Biochemistry. 48(9). 1936–1944. 41 indexed citations
6.
Zhang, Sheng, et al.. (2006). A Receptor-Modifying Deamidase in Complex with a Signaling Phosphatase Reveals Reciprocal Regulation. Cell. 124(3). 561–571. 62 indexed citations
7.
Park, Sang‐Youn, Peter P. Borbat, Gabriela Gonzalez-Bonet, et al.. (2006). Reconstruction of the chemotaxis receptor–kinase assembly. Nature Structural & Molecular Biology. 13(5). 400–407. 223 indexed citations
8.
Pollard, Abiola M., et al.. (2006). Effect of Formulation and Manufacturing Parameters on Process Cheese Food Functionality—I. Trisodium Citrate. Journal of Dairy Science. 89(7). 2386–2396. 35 indexed citations
9.
Carr, J. G., Abiola M. Pollard, G. C. Whiting, & A. H. Williams. (1957). The reduction of quinic acid to dihydroshikimic acid by certain lactic acid bacteria. Biochemical Journal. 66(2). 283–285. 17 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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