Neil M. Kad

2.5k total citations
52 papers, 2.0k citations indexed

About

Neil M. Kad is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Physiology. According to data from OpenAlex, Neil M. Kad has authored 52 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Molecular Biology, 13 papers in Cardiology and Cardiovascular Medicine and 7 papers in Physiology. Recurrent topics in Neil M. Kad's work include Cardiomyopathy and Myosin Studies (13 papers), DNA Repair Mechanisms (10 papers) and Cardiovascular Effects of Exercise (9 papers). Neil M. Kad is often cited by papers focused on Cardiomyopathy and Myosin Studies (13 papers), DNA Repair Mechanisms (10 papers) and Cardiovascular Effects of Exercise (9 papers). Neil M. Kad collaborates with scholars based in United Kingdom, United States and Germany. Neil M. Kad's co-authors include Sheena E. Radford, David M. Warshaw, Bennett Van Houten, Neil H. Thomson, D. A. Smith, David P. Smith, Michael A. Geeves, Jody M. Mason, Patricia Kirwin-Jones and Margaret Sunde and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Neil M. Kad

50 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Neil M. Kad United Kingdom	23	1.6k	618	341	240	163	52	2.0k
Elin K. Esbjörner Sweden	31	2.0k 1.2×	587 0.9×	57 0.2×	175 0.7×	139 0.9×	63	2.8k
Shae B. Padrick United States	19	1.7k 1.1×	380 0.6×	158 0.5×	157 0.7×	1.1k 6.8×	32	2.7k
Fan Jiang China	25	2.0k 1.2×	478 0.8×	35 0.1×	498 2.1×	233 1.4×	70	2.6k
Magnus Kjærgaard Denmark	28	2.0k 1.3×	427 0.7×	37 0.1×	593 2.5×	329 2.0×	57	2.6k
Eduard V. Bocharov Russia	30	1.8k 1.1×	231 0.4×	56 0.2×	120 0.5×	238 1.5×	114	2.3k
Simon Sharpe Canada	23	1.2k 0.8×	270 0.4×	28 0.1×	237 1.0×	117 0.7×	49	1.7k
Jaime Pascual United States	17	993 0.6×	240 0.4×	55 0.2×	149 0.6×	294 1.8×	21	1.6k
J. Mario Isas United States	26	1.4k 0.9×	520 0.8×	26 0.1×	128 0.5×	317 1.9×	44	2.1k
Krystyna Surewicz United States	29	2.0k 1.3×	655 1.1×	68 0.2×	193 0.8×	77 0.5×	46	2.5k
Daniel Wüstner Denmark	31	2.3k 1.4×	401 0.6×	43 0.1×	145 0.6×	628 3.9×	103	3.1k

Countries citing papers authored by Neil M. Kad

Since Specialization

Citations

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

Fields of papers citing papers by Neil M. Kad

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neil M. Kad

This figure shows the co-authorship network connecting the top 25 collaborators of Neil M. Kad. A scholar is included among the top collaborators of Neil M. Kad 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 Neil M. Kad. Neil M. Kad 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

Regnier, Michael, et al.. (2025). Spatially resolving how cMyBP-C phosphorylation and haploinsufficiency in porcine and human myofibrils affect β-cardiac myosin activity. The Journal of General Physiology. 157(5). 1 indexed citations

Kad, Neil M., et al.. (2025). The mitotic chromosome periphery modulates chromosome mechanics. Nature Communications. 16(1). 6399–6399.

Gupta, Arya, et al.. (2024). Identification of a novel DNA repair inhibitor using an in silico driven approach shows effective combinatorial activity with genotoxic agents against multidrug‐resistant Escherichia coli. Protein Science. 33(4). e4948–e4948. 1 indexed citations

Gupta, Arya, et al.. (2023). Developing novel antimicrobials by combining cancer chemotherapeutics with bacterial DNA repair inhibitors. PLoS Pathogens. 19(12). e1011875–e1011875. 2 indexed citations

Gupta, Arya, et al.. (2022). Culture media, DMSO and efflux affect the antibacterial activity of cisplatin and oxaliplatin. Letters in Applied Microbiology. 75(4). 951–956. 3 indexed citations

Walklate, Jonathan, et al.. (2022). Single-molecule imaging reveals how mavacamten and PKA modulate ATP turnover in skeletal muscle myofibrils. The Journal of General Physiology. 155(1). 14 indexed citations

Gupta, Arya, et al.. (2022). Identification of the target and mode of action for the prokaryotic nucleotide excision repair inhibitor ATBC. Bioscience Reports. 42(6). 6 indexed citations

Kuper, Jochen, et al.. (2020). The TFIIH subunits p44/p62 act as a damage sensor during nucleotide excision repair. Nucleic Acids Research. 48(22). 12689–12696. 18 indexed citations

Kad, Neil M., et al.. (2020). Selective antagonism of cJun for cancer therapy. Journal of Experimental & Clinical Cancer Research. 39(1). 184–184. 58 indexed citations

10.

Hughes, Craig D., et al.. (2018). A Novel DNA Repair Mechanism for the Processing of Low-Level UV-Induced Damage in Bacteria. Biophysical Journal. 114(3). 81a–82a. 1 indexed citations

11.

Hughes, Craig D., et al.. (2017). Recruitment of UvrBC complexes to UV-induced damage in the absence of UvrA increases cell survival. Nucleic Acids Research. 46(3). 1256–1265. 16 indexed citations

12.

Kong, Muwen, Lili Liu, Xuejing Chen, et al.. (2016). Single-Molecule Imaging Reveals that Rad4 Employs a Dynamic DNA Damage Recognition Process. Molecular Cell. 64(2). 376–387. 69 indexed citations

13.

Walcott, Sam & Neil M. Kad. (2015). Direct Measurements of Local Coupling between Myosin Molecules Are Consistent with a Model of Muscle Activation. PLoS Computational Biology. 11(11). e1004599–e1004599. 6 indexed citations

14.

Houten, Bennett Van & Neil M. Kad. (2014). Investigation of bacterial nucleotide excision repair using single-molecule techniques. DNA repair. 20. 41–48. 17 indexed citations

15.

Kad, Neil M., et al.. (2013). Combining intracellular selection with protein-fragment complementation to derive A interacting peptides. Protein Engineering Design and Selection. 26(7). 463–470. 13 indexed citations

16.

Hughes, Craig D., Hong Wang, Harshad Ghodke, et al.. (2013). Real-time single-molecule imaging reveals a direct interaction between UvrC and UvrB on DNA tightropes. Nucleic Acids Research. 41(9). 4901–4912. 44 indexed citations

17.

Kad, Neil M., et al.. (2011). Single Qdot-labeled glycosylase molecules use a wedge amino acid to probe for lesions while scanning along DNA. Nucleic Acids Research. 39(17). 7487–7498. 99 indexed citations

18.

Kad, Neil M., Joseph B. Patlak, Patricia M. Fagnant, Kathleen M. Trybus, & David M. Warshaw. (2006). Mutation of a Conserved Glycine in the SH1-SH2 Helix Affects the Load-Dependent Kinetics of Myosin. Biophysical Journal. 92(5). 1623–1631. 51 indexed citations

19.

Kad, Neil M., Sarah Myers, David P. Smith, et al.. (2003). Hierarchical Assembly of β2-Microglobulin Amyloid In Vitro Revealed by Atomic Force Microscopy. Journal of Molecular Biology. 330(4). 785–797. 175 indexed citations

20.

Kad, Neil M., Neil H. Thomson, David P. Smith, D. A. Smith, & Sheena E. Radford. (2001). β2-microglobulin and its deamidated variant, N17D form amyloid fibrils with a range of morphologies in vitro. Journal of Molecular Biology. 313(3). 559–571. 151 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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