David G. Waterman

4.6k total citations · 1 hit paper
35 papers, 1.8k citations indexed

About

David G. Waterman is a scholar working on Materials Chemistry, Molecular Biology and Structural Biology. According to data from OpenAlex, David G. Waterman has authored 35 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Materials Chemistry, 19 papers in Molecular Biology and 6 papers in Structural Biology. Recurrent topics in David G. Waterman's work include Enzyme Structure and Function (22 papers), Protein Structure and Dynamics (8 papers) and X-ray Diffraction in Crystallography (8 papers). David G. Waterman is often cited by papers focused on Enzyme Structure and Function (22 papers), Protein Structure and Dynamics (8 papers) and X-ray Diffraction in Crystallography (8 papers). David G. Waterman collaborates with scholars based in United Kingdom, United States and France. David G. Waterman's co-authors include Gwyndaf Evans, James M. Parkhurst, Graeme Winter, Richard J. Gildea, Nicholas K. Sauter, Aaron S. Brewster, Markus Gerstel, I.D. Young, Luis Fuentes‐Montero and M. Vollmar and has published in prestigious journals such as Journal of Molecular Biology, Journal of Applied Crystallography and Protein Science.

In The Last Decade

David G. Waterman

34 papers receiving 1.8k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

DIALS: implementation and evaluation of a new integration package

2018 723 citations Graeme Winter, David G. Waterman et al. Acta Crystallographica Section D Structural Biology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David G. Waterman United Kingdom	16	1.1k	686	149	141	125	35	1.8k
James M. Parkhurst United Kingdom	11	695 0.6×	452 0.7×	149 1.0×	91 0.6×	86 0.7×	32	1.2k
Hideo Ago Japan	25	2.0k 1.8×	668 1.0×	144 1.0×	130 0.9×	137 1.1×	56	3.1k
F. Cipriani France	21	1.3k 1.1×	1.1k 1.5×	240 1.6×	78 0.6×	84 0.7×	39	1.9k
Aaron S. Brewster United States	20	1.3k 1.1×	908 1.3×	353 2.4×	153 1.1×	232 1.9×	42	2.1k
Markus Gerstel United Kingdom	7	692 0.6×	481 0.7×	137 0.9×	67 0.5×	50 0.4×	8	1.1k
Ashwin Chari Germany	28	2.3k 2.0×	319 0.5×	82 0.6×	92 0.7×	403 3.2×	44	2.9k
Mirosława Dauter United States	25	1.3k 1.2×	876 1.3×	94 0.6×	113 0.8×	36 0.3×	52	1.9k
Ana González United States	12	636 0.6×	581 0.8×	97 0.7×	73 0.5×	36 0.3×	28	1.3k
Alan Merk United States	16	1.4k 1.2×	356 0.5×	94 0.6×	86 0.6×	632 5.1×	20	2.1k
Christian Gorba Germany	9	1.3k 1.1×	485 0.7×	42 0.3×	182 1.3×	36 0.3×	9	1.8k

Countries citing papers authored by David G. Waterman

Since Specialization

Citations

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

Fields of papers citing papers by David G. Waterman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David G. Waterman

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

All Works

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20 of 20 papers shown

Zou, Xiaodong, et al.. (2024). How to use DIALS to process chemical crystallography 3D ED rotation data from pixel array detectors. Acta Crystallographica Section C Structural Chemistry. 81(1). 1–13.

Waterman, David G., Tim Gruene, Yun Song, et al.. (2024). Cryo-tomography and 3D Electron Diffraction Reveal the Polar Habit and Chiral Structure of the Malaria Pigment Crystal Hemozoin. ACS Central Science. 10(8). 1504–1514. 4 indexed citations

Bowman, Sarah, Chun‐Hsing Chen, M. Jason de la Cruz, et al.. (2024). Applying 3D ED/MicroED workflows toward the next frontiers. Acta Crystallographica Section C Structural Chemistry. 80(6). 179–189. 4 indexed citations

Parkhurst, James M., C. Alistair Siebert, Maud Dumoux, et al.. (2023). Investigation of the milling characteristics of different focused-ion-beam sources assessed by three-dimensional electron diffraction from crystal lamellae. IUCrJ. 10(3). 270–287. 5 indexed citations

Waterman, David G., et al.. (2023). Dynamical diffraction of high-energy electrons by light-atom structures: a multiple forward scattering interpretation. Acta Crystallographica Section A Foundations and Advances. 79(2). 180–191. 1 indexed citations

Waterman, David G., et al.. (2023). A standard data format for 3DED/MicroED. Structure. 31(12). 1510–1517.e1. 3 indexed citations

Winter, Graeme, James Beilsten‐Edmands, N. E. Devenish, et al.. (2021). DIALS as a toolkit. Protein Science. 31(1). 232–250. 68 indexed citations

Vollmar, M., James M. Parkhurst, Arnaud Baslé, et al.. (2020). The predictive power of data-processing statistics. IUCrJ. 7(2). 342–354. 8 indexed citations

Beale, Emma V., David G. Waterman, Corey W. Hecksel, et al.. (2020). A Workflow for Protein Structure Determination From Thin Crystal Lamella by Micro-Electron Diffraction. Frontiers in Molecular Biosciences. 7. 179–179. 20 indexed citations

10.

Cheng, Anchi, Carl J. Negro, Jessica F. Bruhn, et al.. (2020). Leginon: New features and applications. Protein Science. 30(1). 136–150. 81 indexed citations

11.

Clabbers, Max T. B., Tim Gruene, James M. Parkhurst, Jan Pieter Abrahams, & David G. Waterman. (2018). Electron diffraction data processing withDIALS. Acta Crystallographica Section D Structural Biology. 74(6). 506–518. 95 indexed citations

12.

Brewster, Aaron S., David G. Waterman, James M. Parkhurst, et al.. (2018). Improving signal strength in serial crystallography with DIALS geometry refinement. Acta Crystallographica Section D Structural Biology. 74(9). 877–894. 30 indexed citations

13.

Winter, Graeme, David G. Waterman, James M. Parkhurst, et al.. (2018). DIALS: implementation and evaluation of a new integration package. Acta Crystallographica Section D Structural Biology. 74(2). 85–97. 723 indexed citations breakdown →

14.

Parkhurst, James M., Andrea Thorn, M. Vollmar, et al.. (2017). Background modelling of diffraction data in the presence of ice rings. IUCrJ. 4(5). 626–638. 9 indexed citations

15.

Waterman, David G., Graeme Winter, Richard J. Gildea, et al.. (2016). Diffraction-geometry refinement in theDIALSframework. Acta Crystallographica Section D Structural Biology. 72(4). 558–575. 139 indexed citations

16.

Lebedev, Andrey A., Charles Ballard, Ronan M. Keegan, et al.. (2013). CCP4 6.4, the next step in the MX software development and distribution. Acta Crystallographica Section A Foundations of Crystallography. 69(a1). s300–s300. 3 indexed citations

17.

Waterman, David G., et al.. (2013). Enzyme-RNA Substrate Recognition in RNA-Modifying Enzymes. 2 indexed citations

18.

Whelan, Fiona, Pierre Aller, Louise E. Bird, et al.. (2013). S-Adenosyl-S-carboxymethyl-L-homocysteine: a novel cofactor found in the putative tRNA-modifying enzyme CmoA. Acta Crystallographica Section D Biological Crystallography. 69(6). 1090–1098. 17 indexed citations

19.

Waterman, David G. & Gwyndaf Evans. (2010). Estimation of errors in diffraction data measured by CCD area detectors. Journal of Applied Crystallography. 43(6). 1356–1371. 32 indexed citations

20.

Ng, Chyan Leong, David G. Waterman, Eugene V. Koonin, et al.. (2009). Conformational flexibility and molecular interactions of an archaeal homologue of the Shwachman-Bodian-Diamond syndrome protein. BMC Structural Biology. 9(1). 32–32. 24 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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