James Foadi

1.6k total citations
21 papers, 638 citations indexed

About

James Foadi is a scholar working on Materials Chemistry, Molecular Biology and Physical and Theoretical Chemistry. According to data from OpenAlex, James Foadi has authored 21 papers receiving a total of 638 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Materials Chemistry, 15 papers in Molecular Biology and 3 papers in Physical and Theoretical Chemistry. Recurrent topics in James Foadi's work include Enzyme Structure and Function (14 papers), Protein Structure and Dynamics (12 papers) and RNA and protein synthesis mechanisms (6 papers). James Foadi is often cited by papers focused on Enzyme Structure and Function (14 papers), Protein Structure and Dynamics (12 papers) and RNA and protein synthesis mechanisms (6 papers). James Foadi collaborates with scholars based in United Kingdom, Japan and United States. James Foadi's co-authors include Danny Axford, Gwyndaf Evans, Robin L. Owen, Angela Altomare, Yilmaz Alguel, Anna Moliterni, So Iwata, Carmelo Giacovazzo, Pierre Aller and M. C. Burla and has published in prestigious journals such as Nature Communications, Journal of Applied Crystallography and Methods.

In The Last Decade

James Foadi

19 papers receiving 629 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James Foadi United Kingdom 9 383 332 96 57 44 21 638
P. A. Machin United Kingdom 8 328 0.9× 334 1.0× 80 0.8× 40 0.7× 69 1.6× 13 547
Rangana Warshamanage Switzerland 10 240 0.6× 217 0.7× 80 0.8× 14 0.2× 31 0.7× 14 463
P. Fischer Germany 8 222 0.6× 290 0.9× 42 0.4× 32 0.6× 30 0.7× 16 432
Pierre Aller United Kingdom 15 714 1.9× 276 0.8× 27 0.3× 41 0.7× 40 0.9× 30 882
Matias Guijarro France 11 652 1.7× 502 1.5× 27 0.3× 19 0.3× 68 1.5× 14 886
F.E. Reyes United States 19 1.1k 2.9× 408 1.2× 40 0.4× 21 0.4× 100 2.3× 23 1.4k
P. Mehrabi Germany 12 441 1.2× 447 1.3× 31 0.3× 22 0.4× 80 1.8× 22 708
Stefano Da Vela Germany 13 327 0.9× 188 0.6× 47 0.5× 13 0.2× 24 0.5× 30 514
T. Higashi Japan 6 222 0.6× 165 0.5× 48 0.5× 50 0.9× 12 0.3× 9 437
A. Pähler United States 10 623 1.6× 244 0.7× 184 1.9× 60 1.1× 41 0.9× 17 1.0k

Countries citing papers authored by James Foadi

Since Specialization
Citations

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

Fields of papers citing papers by James Foadi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James Foadi

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

All Works

20 of 20 papers shown
1.
Soares, Alexei S., Yusuke Yamada, Jean Jakoncic, et al.. (2022). Serial crystallography with multi-stage merging of thousands of images. Acta Crystallographica Section F Structural Biology Communications. 78(7). 281–288. 4 indexed citations
2.
Lawrence, J. M., et al.. (2020). High-throughput in situ experimental phasing. Acta Crystallographica Section D Structural Biology. 76(8). 790–801. 3 indexed citations
3.
Carminati, Manuel, Andrea Alfieri, Silvia Monzani, et al.. (2019). Hexameric NuMA:LGN structures promote multivalent interactions required for planar epithelial divisions. Nature Communications. 10(1). 2208–2208. 23 indexed citations
4.
Birch, J.R., Danny Axford, James Foadi, et al.. (2018). The fine art of integral membrane protein crystallisation. Methods. 147. 150–162. 45 indexed citations
5.
6.
Evans, Gwyndaf, et al.. (2017). An effective introduction to structural crystallography using 1D Gaussian atoms. European Journal of Physics. 38(6). 65501–65501. 1 indexed citations
7.
Mylona, Anastasia, S.B. Carr, Pierre Aller, et al.. (2017). A Novel Approach to Data Collection for Difficult Structures: Data Management for Large Numbers of Crystals with the BLEND Software. Crystals. 7(8). 242–242. 5 indexed citations
8.
Aller, Pierre, Tian Geng, Gwyndaf Evans, & James Foadi. (2016). Applications of the BLEND Software to Crystallographic Data from Membrane Proteins. Advances in experimental medicine and biology. 922. 119–135. 8 indexed citations
9.
Axford, Danny, James Foadi, Nien‐Jen Hu, et al.. (2015). Structure determination of an integral membrane protein at room temperature from crystals in situ. Acta Crystallographica Section D Biological Crystallography. 71(6). 1228–1237. 32 indexed citations
10.
Foadi, James, Pierre Aller, Yilmaz Alguel, et al.. (2013). Clustering procedures for the optimal selection of data sets from multiple crystals in macromolecular crystallography. Acta Crystallographica Section D Biological Crystallography. 69(8). 1617–1632. 196 indexed citations
11.
Axford, Danny, Robin L. Owen, Jun Aishima, et al.. (2012). In situmacromolecular crystallography using microbeams. Acta Crystallographica Section D Biological Crystallography. 68(5). 592–600. 106 indexed citations
12.
Foadi, James, Pierre Aller, Robin L. Owen, et al.. (2012). Clustering procedures for the optimal selection of data sets from multiple crystals in macromolecular crystallography. Acta Crystallographica Section A Foundations of Crystallography. 68(a1). s17–s17. 3 indexed citations
13.
Foadi, James, Yilmaz Alguel, Wesley Armour, et al.. (2011). On the systematic scaling and merging of multiple datasets in macromolecular crystallography. Acta Crystallographica Section A Foundations of Crystallography. 67(a1). C162–C162. 1 indexed citations
14.
Foadi, James & Gwyndaf Evans. (2010). On the allowed values for the triclinic unit-cell angles. Acta Crystallographica Section A Foundations of Crystallography. 67(1). 93–95. 5 indexed citations
15.
Foadi, James. (2010). Real-Space Methods to Solve Protein Structures. Europe PMC (PubMed Central).
16.
Foadi, James. (2007). A simple approach to Fourier aliasing. European Journal of Physics. 28(3). 551–561. 1 indexed citations
17.
Walker, C.G.H., James Foadi, & Julie Wilson. (2007). Classification of protein crystallization images using Fourier descriptors. Journal of Applied Crystallography. 40(3). 418–426. 17 indexed citations
18.
Foadi, James, et al.. (2000). A flexible and efficient procedure for the solution and phase refinement of protein structures. Acta Crystallographica Section D Biological Crystallography. 56(9). 1137–1147. 36 indexed citations
19.
Altomare, Angela, James Foadi, Carmelo Giacovazzo, et al.. (1998). Solving Crystal Structures from Powder Data. IV. The Use of the Patterson Information for Estimating the |F|'s. Journal of Applied Crystallography. 31(1). 74–77. 134 indexed citations
20.
Altomare, Angela, James Foadi, Carmelo Giacovazzo, Antonietta Guagliardi, & Anna Moliterni. (1996). Solving Crystal Structures from Powder Data. II. Pseudotranslational Symmetry and Powder-Pattern Decomposition. Journal of Applied Crystallography. 29(6). 674–681. 10 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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