Daniel N. Grba

431 total citations
8 papers, 293 citations indexed

About

Daniel N. Grba is a scholar working on Molecular Biology, Structural Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Daniel N. Grba has authored 8 papers receiving a total of 293 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 1 paper in Structural Biology and 1 paper in Pathology and Forensic Medicine. Recurrent topics in Daniel N. Grba's work include Mitochondrial Function and Pathology (5 papers), Photosynthetic Processes and Mechanisms (5 papers) and ATP Synthase and ATPases Research (5 papers). Daniel N. Grba is often cited by papers focused on Mitochondrial Function and Pathology (5 papers), Photosynthetic Processes and Mechanisms (5 papers) and ATP Synthase and ATPases Research (5 papers). Daniel N. Grba collaborates with scholars based in United Kingdom, Sweden and Italy. Daniel N. Grba's co-authors include Judy Hirst, Hannah R. Bridges, Zhan Yin, Injae Chung, John J. Wright, Thomas Krieg, Michael P. Murphy, Amin Mottahedin, Nils Burger and Duvaraka Kula‐Alwar and has published in prestigious journals such as Science, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Daniel N. Grba

8 papers receiving 289 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel N. Grba United Kingdom	8	229	22	19	18	18	8	293
Olivier Biner Switzerland	10	277 1.2×	7 0.3×	16 0.8×	12 0.7×	7 0.4×	15	369
Arnab Modak United States	8	238 1.0×	40 1.8×	7 0.4×	7 0.4×	24 1.3×	12	292
Harry Saavedra United States	6	304 1.3×	18 0.8×	5 0.3×	6 0.3×	17 0.9×	8	385
Sebastian Richers Germany	6	329 1.4×	27 1.2×	5 0.3×	22 1.2×	22 1.2×	6	361
Vera Ott Germany	5	281 1.2×	39 1.8×	19 1.0×	6 0.3×	11 0.6×	6	395
Carlos A. Elena‐Real France	9	312 1.4×	16 0.7×	6 0.3×	4 0.2×	16 0.9×	16	399
Lucie Bergdoll United States	8	259 1.1×	44 2.0×	8 0.4×	10 0.6×	16 0.9×	17	309
Lorena Marín-Buera Spain	8	383 1.7×	96 4.4×	6 0.3×	9 0.5×	49 2.7×	8	468
Oskar Engberg Germany	15	419 1.8×	26 1.2×	10 0.5×	47 2.6×	41 2.3×	29	510

Countries citing papers authored by Daniel N. Grba

Since Specialization

Citations

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

Fields of papers citing papers by Daniel N. Grba

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel N. Grba. 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 Daniel N. Grba. The network helps show where Daniel N. Grba may publish in the future.

Co-authorship network of co-authors of Daniel N. Grba

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

All Works

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8 of 8 papers shown

Grba, Daniel N., John J. Wright, Zhan Yin, William W. Fisher, & Judy Hirst. (2024). Molecular mechanism of the ischemia-induced regulatory switch in mammalian complex I. Science. 384(6701). 1247–1253. 9 indexed citations

Hawkins, Dorothy E. D. P., Oliver W. Bayfield, Herman K.H. Fung, et al.. (2023). Insights into a viral motor: the structure of the HK97 packaging termination assembly. Nucleic Acids Research. 51(13). 7025–7035. 15 indexed citations

Grba, Daniel N., Injae Chung, Hannah R. Bridges, Ahmed-Noor A. Agip, & Judy Hirst. (2023). Investigation of hydrated channels and proton pathways in a high-resolution cryo-EM structure of mammalian complex I. Science Advances. 9(31). eadi1359–eadi1359. 20 indexed citations

Grba, Daniel N., James N. Blaza, Hannah R. Bridges, et al.. (2022). Cryo-electron microscopy reveals how acetogenins inhibit mitochondrial respiratory complex I. Journal of Biological Chemistry. 298(3). 101602–101602. 25 indexed citations

Chung, Injae, Daniel N. Grba, John J. Wright, & Judy Hirst. (2022). Making the leap from structure to mechanism: are the open states of mammalian complex I identified by cryoEM resting states or catalytic intermediates?. Current Opinion in Structural Biology. 77. 102447–102447. 25 indexed citations

Yin, Zhan, Nils Burger, Duvaraka Kula‐Alwar, et al.. (2021). Structural basis for a complex I mutation that blocks pathological ROS production. Nature Communications. 12(1). 707–707. 97 indexed citations

Grba, Daniel N., Andrew J. Y. Jones, Wei Song, et al.. (2021). A conserved arginine residue is critical for stabilizing the N2 FeS cluster in mitochondrial complex I. Journal of Biological Chemistry. 296. 100474–100474. 8 indexed citations

Grba, Daniel N. & Judy Hirst. (2020). Mitochondrial complex I structure reveals ordered water molecules for catalysis and proton translocation. Nature Structural & Molecular Biology. 27(10). 892–900. 94 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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