Maya Topf

9.8k total citations · 2 hit papers
118 papers, 5.7k citations indexed

About

Maya Topf is a scholar working on Molecular Biology, Materials Chemistry and Structural Biology. According to data from OpenAlex, Maya Topf has authored 118 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 88 papers in Molecular Biology, 34 papers in Materials Chemistry and 28 papers in Structural Biology. Recurrent topics in Maya Topf's work include Enzyme Structure and Function (31 papers), Advanced Electron Microscopy Techniques and Applications (28 papers) and RNA and protein synthesis mechanisms (24 papers). Maya Topf is often cited by papers focused on Enzyme Structure and Function (31 papers), Advanced Electron Microscopy Techniques and Applications (28 papers) and RNA and protein synthesis mechanisms (24 papers). Maya Topf collaborates with scholars based in United Kingdom, United States and Germany. Maya Topf's co-authors include Andrej Săli, Andriy Kryshtafovych, Krzysztof Fidelis, John Moult, Torsten Schwede, Wah Chiu, Frank Alber, Daven Vasishtan, Arun Prasad Pandurangan and Agnel Praveen Joseph and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Maya Topf

116 papers receiving 5.7k 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.

Critical assessment of methods of protein structure prediction (CASP)—Round XIII

2019 330 citations Andriy Kryshtafovych, Torsten Schwede et al. Proteins Structure Function and Bioinformatics profile →
Critical assessment of methods of protein structure prediction (CASP)—Round XIV

2021 291 citations Andriy Kryshtafovych, Torsten Schwede et al. Proteins Structure Function and Bioinformatics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Maya Topf United Kingdom	45	4.3k	1.3k	880	637	440	118	5.7k
Takanori Nakane Japan	32	6.1k 1.4×	1.0k 0.8×	1.1k 1.3×	553 0.9×	720 1.6×	57	8.7k
Gunnar F. Schröder Germany	41	5.0k 1.2×	1.2k 0.9×	454 0.5×	731 1.1×	540 1.2×	87	7.4k
Jasenko Zivanov United Kingdom	10	4.3k 1.0×	474 0.4×	772 0.9×	516 0.8×	507 1.2×	13	6.4k
Kliment A. Verba United States	9	4.3k 1.0×	544 0.4×	648 0.7×	593 0.9×	643 1.5×	19	5.9k
Dari Kimanius United Kingdom	14	4.1k 1.0×	562 0.4×	904 1.0×	507 0.8×	531 1.2×	22	5.8k
Michael F. Schmid United States	40	3.3k 0.8×	760 0.6×	1.1k 1.3×	410 0.6×	526 1.2×	129	5.3k
Neil A. Ranson United Kingdom	42	3.8k 0.9×	1.2k 0.9×	378 0.4×	333 0.5×	530 1.2×	109	5.7k
Xueming Li China	38	4.2k 1.0×	861 0.6×	1.3k 1.5×	711 1.1×	487 1.1×	100	7.0k
Jianlin Lei China	51	6.4k 1.5×	533 0.4×	391 0.4×	395 0.6×	846 1.9×	96	8.6k
Yuri L. Lyubchenko United States	51	5.6k 1.3×	375 0.3×	457 0.5×	460 0.7×	439 1.0×	223	8.5k

Countries citing papers authored by Maya Topf

Since Specialization

Citations

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

Fields of papers citing papers by Maya Topf

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maya Topf

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Nair, Sanjana, et al.. (2025). Drug targeting of protein-nucleic acid interactions. Current Opinion in Structural Biology. 95. 103165–103165.

Cragnolini, Tristan, et al.. (2024). Cryo-EM structure and B-factor refinement with ensemble representation. Nature Communications. 15(1). 444–444. 9 indexed citations

Topf, Maya, et al.. (2024). Key Proteins for Regeneration in A. mexicanum. Scientifica. 2024(1). 5460694–5460694. 1 indexed citations

Manalastas-Cantos, Karen, et al.. (2024). Modeling Flexible Protein Structure With AlphaFold2 and Crosslinking Mass Spectrometry. Molecular & Cellular Proteomics. 23(3). 100724–100724. 14 indexed citations

Kryshtafovych, Andriy, Maciej Antczak, Marta Szachniuk, et al.. (2023). New prediction categories in CASP15. Proteins Structure Function and Bioinformatics. 91(12). 1550–1557. 37 indexed citations

Kryshtafovych, Andriy, Torsten Schwede, Maya Topf, Krzysztof Fidelis, & John Moult. (2023). Critical assessment of methods of protein structure prediction ( CASP )—Round XV. Proteins Structure Function and Bioinformatics. 91(12). 1539–1549. 60 indexed citations

Kretsch, Rachael C., et al.. (2023). CASP15 cryo‐EM protein and RNA targets: Refinement and analysis using experimental maps. Proteins Structure Function and Bioinformatics. 91(12). 1935–1951. 8 indexed citations

Das, Rhiju, Rachael C. Kretsch, Adam J. Simpkin, et al.. (2023). Assessment of three‐dimensional RNA structure prediction in CASP15. Proteins Structure Function and Bioinformatics. 91(12). 1747–1770. 72 indexed citations

Reid, Kimberley M., Dora Steel, Sanjana Nair, et al.. (2023). Loss-of-Function Variants in DRD1 in Infantile Parkinsonism-Dystonia. Cells. 12(7). 1046–1046. 3 indexed citations

10.

Ivanova, Marina E., Natalya Lukoyanova, Sony Malhotra, et al.. (2022). The pore conformation of lymphocyte perforin. Science Advances. 8(6). eabk3147–eabk3147. 23 indexed citations

11.

Kryshtafovych, Andriy, Torsten Schwede, Maya Topf, Krzysztof Fidelis, & John Moult. (2021). Critical assessment of methods of protein structure prediction (CASP)—Round XIV. Proteins Structure Function and Bioinformatics. 89(12). 1607–1617. 291 indexed citations breakdown →

12.

Atherton, Joseph, Kai Jiang, Shasha Hua, et al.. (2020). Author Correction: A structural model for microtubule minus-end recognition and protection by CAMSAP proteins. Nature Structural & Molecular Biology. 27(6). 603–603. 1 indexed citations

13.

Vollmer, Benjamin, Vojtěch Pražák, Daven Vasishtan, et al.. (2020). The prefusion structure of herpes simplex virus glycoprotein B. Science Advances. 6(39). 50 indexed citations

14.

Kryshtafovych, Andriy, Torsten Schwede, Maya Topf, Krzysztof Fidelis, & John Moult. (2019). Critical assessment of methods of protein structure prediction (CASP)—Round XIII. Proteins Structure Function and Bioinformatics. 87(12). 1011–1020. 330 indexed citations breakdown →

15.

Brasilès, Sandrine, Jörg Bürger, Thorsten Mielke, et al.. (2019). Structural transitions during the scaffolding-driven assembly of a viral capsid. Nature Communications. 10(1). 4840–4840. 21 indexed citations

16.

Greco, Todd M., et al.. (2019). Protein interactions and consensus clustering analysis uncover insights into herpesvirus virion structure and function relationships. PLoS Biology. 17(6). e3000316–e3000316. 16 indexed citations

17.

Atherton, Joseph, Kai Jiang, Shasha Hua, et al.. (2017). A structural model for microtubule minus-end recognition and protection by CAMSAP proteins. Nature Structural & Molecular Biology. 24(11). 931–943. 75 indexed citations

18.

Schaefer, Natascha, Alexandra Berger, Fang Zheng, et al.. (2017). Disruption of a Structurally Important Extracellular Element in the Glycine Receptor Leads to Decreased Synaptic Integration and Signaling Resulting in Severe Startle Disease. Journal of Neuroscience. 37(33). 7948–7961. 14 indexed citations

19.

Zeev‐Ben‐Mordehai, Tzviya, Daven Vasishtan, Benjamin Vollmer, et al.. (2016). Two distinct trimeric conformations of natively membrane-anchored full-length herpes simplex virus 1 glycoprotein B. Proceedings of the National Academy of Sciences. 113(15). 4176–4181. 82 indexed citations

20.

Zhang, Shihua, Daven Vasishtan, Min Xu, Maya Topf, & Frank Alber. (2010). A fast mathematical programming procedure for simultaneous fitting of assembly components into cryoEM density maps. Bioinformatics. 26(12). i261–i268. 20 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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