Kevin J. Robbins

526 total citations
11 papers, 372 citations indexed

About

Kevin J. Robbins is a scholar working on Molecular Biology, Physiology and Biomaterials. According to data from OpenAlex, Kevin J. Robbins has authored 11 papers receiving a total of 372 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Physiology and 3 papers in Biomaterials. Recurrent topics in Kevin J. Robbins's work include Alzheimer's disease research and treatments (6 papers), Protein Structure and Dynamics (5 papers) and Supramolecular Self-Assembly in Materials (3 papers). Kevin J. Robbins is often cited by papers focused on Alzheimer's disease research and treatments (6 papers), Protein Structure and Dynamics (5 papers) and Supramolecular Self-Assembly in Materials (3 papers). Kevin J. Robbins collaborates with scholars based in United States. Kevin J. Robbins's co-authors include Noel D. Lazo, Gai Liu, Samuel Sparks, Martin D. Eastgate, M. Reza Ghadiri, Paul M. Scola, Phil S. Baran, Lara R. Malins, Justine N. deGruyter and A. Prabhakar and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Biochemistry.

In The Last Decade

Kevin J. Robbins

11 papers receiving 372 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kevin J. Robbins United States	8	248	163	101	50	38	11	372
R. Jeremy Woods United States	10	361 1.5×	138 0.8×	62 0.6×	60 1.2×	30 0.8×	15	505
Pham Dinh Quoc Huy Poland	12	202 0.8×	220 1.3×	58 0.6×	46 0.9×	46 1.2×	20	388
Diane M. Bartley United States	5	284 1.1×	277 1.7×	39 0.4×	82 1.6×	41 1.1×	6	459
Gergely Tóth United Kingdom	9	228 0.9×	192 1.2×	31 0.3×	31 0.6×	43 1.1×	18	437
Julia Kaffy France	14	310 1.3×	144 0.9×	288 2.9×	59 1.2×	24 0.6×	31	571
Sharadrao M. Patil United States	13	407 1.6×	286 1.8×	44 0.4×	73 1.5×	58 1.5×	19	646
Anna Wahlström Sweden	7	251 1.0×	256 1.6×	28 0.3×	92 1.8×	39 1.0×	8	414
Eduard Puig Spain	8	232 0.9×	161 1.0×	24 0.2×	51 1.0×	70 1.8×	11	344
Mei‐Sha Chen China	8	299 1.2×	143 0.9×	141 1.4×	49 1.0×	10 0.3×	10	454
Federica Scollo Czechia	7	265 1.1×	271 1.7×	18 0.2×	74 1.5×	26 0.7×	13	396

Countries citing papers authored by Kevin J. Robbins

Since Specialization

Citations

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

Fields of papers citing papers by Kevin J. Robbins

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin J. Robbins. 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 Kevin J. Robbins. The network helps show where Kevin J. Robbins may publish in the future.

Co-authorship network of co-authors of Kevin J. Robbins

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

All Works

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11 of 11 papers shown

Wu, Yong‐Jin, Brian L. Venables, Ramkumar Rajamani, et al.. (2018). Discovery of morpholine-based aryl sulfonamides as Nav1.7 inhibitors. Bioorganic & Medicinal Chemistry Letters. 28(5). 958–962. 6 indexed citations

Malins, Lara R., Justine N. deGruyter, Kevin J. Robbins, et al.. (2017). Peptide Macrocyclization Inspired by Non-Ribosomal Imine Natural Products. Journal of the American Chemical Society. 139(14). 5233–5241. 106 indexed citations

Mueller, Luciano, et al.. (2017). NMR in drug design. Archives of Biochemistry and Biophysics. 628. 132–147. 21 indexed citations

Robbins, Kevin J., et al.. (2016). Contextual Role of a Salt Bridge in the Phage P22 Coat Protein I-Domain. Journal of Biological Chemistry. 291(21). 11359–11372. 6 indexed citations

Robbins, Kevin J., et al.. (2014). K114 (trans, trans)‐bromo‐2,5‐bis(4‐hydroxystyryl)benzene is an efficient detector of cationic amyloid fibrils. Protein Science. 24(3). 420–425. 7 indexed citations

Liu, Gai, et al.. (2012). Helix-Dipole Effects in Peptide Self-Assembly to Amyloid. Biochemistry. 51(20). 4167–4174. 5 indexed citations

Sparks, Samuel, Gai Liu, Kevin J. Robbins, & Noel D. Lazo. (2012). Curcumin modulates the self-assembly of the islet amyloid polypeptide by disassembling α-helix. Biochemical and Biophysical Research Communications. 422(4). 551–555. 55 indexed citations

Robbins, Kevin J., et al.. (2012). Conformational Analysis of Thioflavin T Bound to the Surface of Amyloid Fibrils. Langmuir. 28(48). 16490–16495. 47 indexed citations

Liu, Gai, et al.. (2012). Kinetic Profile of Amyloid Formation in the Presence of an Aromatic Inhibitor by Nuclear Magnetic Resonance. ACS Medicinal Chemistry Letters. 3(10). 856–859. 15 indexed citations

10.

Robbins, Kevin J., Gai Liu, Guoxing Lin, & Noel D. Lazo. (2011). Detection of Strongly Bound Thioflavin T Species in Amyloid Fibrils by Ligand-Detected ¹H NMR. The Journal of Physical Chemistry Letters. 2(7). 735–740. 28 indexed citations

11.

Liu, Gai, A. Prabhakar, Darryl Aucoin, et al.. (2010). Mechanistic Studies of Peptide Self-Assembly: Transient α-Helices to Stable β-Sheets. Journal of the American Chemical Society. 132(51). 18223–18232. 76 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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