M. Vollmar

4.4k total citations · 1 hit paper
15 papers, 1.5k citations indexed

About

M. Vollmar is a scholar working on Molecular Biology, Materials Chemistry and Oncology. According to data from OpenAlex, M. Vollmar has authored 15 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Materials Chemistry and 3 papers in Oncology. Recurrent topics in M. Vollmar's work include Enzyme Structure and Function (5 papers), Amino Acid Enzymes and Metabolism (2 papers) and Machine Learning in Materials Science (2 papers). M. Vollmar is often cited by papers focused on Enzyme Structure and Function (5 papers), Amino Acid Enzymes and Metabolism (2 papers) and Machine Learning in Materials Science (2 papers). M. Vollmar collaborates with scholars based in United Kingdom, United States and Germany. M. Vollmar's co-authors include Gwyndaf Evans, James M. Parkhurst, Graeme Winter, Richard J. Gildea, Markus Gerstel, Luis Fuentes‐Montero, David G. Waterman, I.D. Young, Tara Michels-Clark and Aaron S. Brewster and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

M. Vollmar

14 papers receiving 1.5k citations

Hit Papers

align trajectories

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
M. Vollmar United Kingdom	11	946	288	241	204	125	15	1.5k
Marjolein Thunnissen Sweden	22	967 1.0×	247 0.9×	341 1.4×	194 1.0×	151 1.2×	44	1.7k
Ulf Reimer Germany	29	2.3k 2.4×	192 0.7×	385 1.6×	315 1.5×	136 1.1×	64	3.1k
Maria Sunnerhagen Sweden	27	1.5k 1.6×	152 0.5×	263 1.1×	328 1.6×	230 1.8×	52	2.2k
Janosch Hennig Germany	25	1.5k 1.6×	222 0.8×	80 0.3×	347 1.7×	86 0.7×	78	2.0k
Galina Obmolova United States	25	1.6k 1.7×	261 0.9×	235 1.0×	275 1.3×	203 1.6×	60	2.2k
Oliver Ohlenschläger Germany	29	1.4k 1.5×	323 1.1×	159 0.7×	122 0.6×	141 1.1×	102	2.1k
Brian Hare United States	18	1.1k 1.1×	160 0.6×	295 1.2×	427 2.1×	96 0.8×	26	1.8k
Patrik Forrer Switzerland	23	2.4k 2.5×	238 0.8×	326 1.4×	329 1.6×	253 2.0×	25	3.0k
Ayeda Ayed Canada	14	1.1k 1.2×	272 0.9×	374 1.6×	152 0.7×	116 0.9×	16	1.5k
P.J. Finerty Canada	15	1.1k 1.2×	145 0.5×	178 0.7×	144 0.7×	87 0.7×	16	1.5k

Countries citing papers authored by M. Vollmar

Since Specialization

Citations

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

Fields of papers citing papers by M. Vollmar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Vollmar

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

All Works

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15 of 15 papers shown

Vollmar, M., Santosh Tirunagari, Déborah Harrus, et al.. (2024). Dataset from a human-in-the-loop approach to identify functionally important protein residues from literature. Scientific Data. 11(1). 1032–1032.

Ferreira, Igor Monteze, M. Vollmar, T. Krojer, et al.. (2021). Structure and activation mechanism of the human liver-type glutaminase GLS2. Biochimie. 185. 96–104. 15 indexed citations

Vollmar, M. & Gwyndaf Evans. (2021). Machine learning applications in macromolecular X-ray crystallography. Crystallography Reviews. 27(2). 54–101. 12 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

Winter, Graeme, Richard J. Gildea, Neil G. Paterson, et al.. (2019). How best to use photons. Acta Crystallographica Section D Structural Biology. 75(3). 242–261. 13 indexed citations

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 →

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

Thorn, Andrea, James M. Parkhurst, Paul Emsley, et al.. (2017). AUSPEX: a graphical tool for X-ray diffraction data analysis. Acta Crystallographica Section D Structural Biology. 73(9). 729–737. 10 indexed citations

Fuentes‐Montero, Luis, James M. Parkhurst, Markus Gerstel, et al.. (2016). Introducing DUI, a graphical interface for DIALS. Acta Crystallographica Section A Foundations and Advances. 72(a1). s189–s189. 5 indexed citations

10.

Chowdhury, Rasheduzzaman, Rok Sekirnik, Nigel C. Brissett, et al.. (2014). Ribosomal oxygenases are structurally conserved from prokaryotes to humans. Nature. 510(7505). 422–426. 88 indexed citations

11.

Walport, Louise J., Richard J. Hopkinson, M. Vollmar, et al.. (2014). Human UTY(KDM6C) Is a Male-specific Nϵ-Methyl Lysyl Demethylase. Journal of Biological Chemistry. 289(26). 18302–18313. 155 indexed citations

12.

McCorvie, Thomas J., J. Kopec, Suk‐Joon Hyung, et al.. (2014). Inter-domain Communication of Human Cystathionine β-Synthase. Journal of Biological Chemistry. 289(52). 36018–36030. 43 indexed citations

13.

Chen, Dawei, M. Vollmar, Marianna Nicoletta Rossi, et al.. (2011). Identification of Macrodomain Proteins as Novel O-Acetyl-ADP-ribose Deacetylases. Journal of Biological Chemistry. 286(15). 13261–13271. 129 indexed citations

14.

Kochan, Grazyna, T. Krojer, David Harvey, et al.. (2011). Crystal structures of the endoplasmic reticulum aminopeptidase-1 (ERAP1) reveal the molecular basis for N-terminal peptide trimming. Proceedings of the National Academy of Sciences. 108(19). 7745–7750. 199 indexed citations

15.

Vollmar, M., et al.. (2009). Structure of the c14 Rotor Ring of the Proton Translocating Chloroplast ATP Synthase. Journal of Biological Chemistry. 284(27). 18228–18235. 99 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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