K.D. Warner

1.3k total citations · 1 hit paper
6 papers, 987 citations indexed

About

K.D. Warner is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Ecology. According to data from OpenAlex, K.D. Warner has authored 6 papers receiving a total of 987 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 1 paper in Cardiology and Cardiovascular Medicine and 1 paper in Ecology. Recurrent topics in K.D. Warner's work include RNA and protein synthesis mechanisms (5 papers), RNA modifications and cancer (4 papers) and Biochemical and Molecular Research (2 papers). K.D. Warner is often cited by papers focused on RNA and protein synthesis mechanisms (5 papers), RNA modifications and cancer (4 papers) and Biochemical and Molecular Research (2 papers). K.D. Warner collaborates with scholars based in United States and United Kingdom. K.D. Warner's co-authors include Kevin M. Weeks, Christine E. Hajdin, A.R. Ferré-D′Amaré, Wenjiao Song, Samie R. Jaffrey, Rita Strack, Andrea Thorn, Michael C. Chen, Grigory S. Filonov and Alison G. Smith and has published in prestigious journals such as Nature Reviews Drug Discovery, Cancer Research and Methods in enzymology on CD-ROM/Methods in enzymology.

In The Last Decade

K.D. Warner

6 papers receiving 978 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.

Principles for targeting RNA with drug-like small molecules

2018 511 citations K.D. Warner, Christine E. Hajdin et al. Nature Reviews Drug Discovery profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
K.D. Warner United States	4	930	87	55	52	48	6	987
Markus Blatter Switzerland	14	1.2k 1.3×	99 1.1×	68 1.2×	24 0.5×	27 0.6×	19	1.2k
Daniel L. Parton United Kingdom	10	413 0.4×	33 0.4×	29 0.5×	43 0.8×	21 0.4×	12	509
Hafeez S. Haniff United States	13	618 0.7×	125 1.4×	33 0.6×	23 0.4×	12 0.3×	15	723
Katherine G. Zyner United Kingdom	8	2.1k 2.3×	51 0.6×	69 1.3×	97 1.9×	33 0.7×	9	2.2k
Alexey К. Shaytan Russia	20	1.0k 1.1×	48 0.6×	70 1.3×	53 1.0×	59 1.2×	59	1.3k
Aleksandr B. Sahakyan United Kingdom	15	1.2k 1.3×	41 0.5×	50 0.9×	60 1.2×	28 0.6×	32	1.3k
Songon An United States	15	1.2k 1.3×	92 1.1×	33 0.6×	18 0.3×	72 1.5×	29	1.4k
Laura R. Ganser United States	13	791 0.9×	45 0.5×	14 0.3×	26 0.5×	21 0.4×	22	881
Sung-Hun Bae South Korea	16	594 0.6×	37 0.4×	21 0.4×	39 0.8×	91 1.9×	20	676
Jeffrey S. Taylor United States	5	456 0.5×	27 0.3×	51 0.9×	23 0.4×	69 1.4×	7	520

Countries citing papers authored by K.D. Warner

Since Specialization

Citations

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

Fields of papers citing papers by K.D. Warner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K.D. Warner. 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 K.D. Warner. The network helps show where K.D. Warner may publish in the future.

Co-authorship network of co-authors of K.D. Warner

This figure shows the co-authorship network connecting the top 25 collaborators of K.D. Warner. A scholar is included among the top collaborators of K.D. Warner 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 K.D. Warner. K.D. Warner 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:

6 of 6 papers shown

1.

Smola, Matthew J., et al.. (2024). Abstract 680: Leveraging an RNA-targeting platform for the discovery of cell-active c-MYC mRNA-binding small molecules. Cancer Research. 84(6_Supplement). 680–680. 1 indexed citations

2.

Warner, K.D., Christine E. Hajdin, & Kevin M. Weeks. (2018). Principles for targeting RNA with drug-like small molecules. Nature Reviews Drug Discovery. 17(8). 547–558. 511 indexed citations breakdown →

3.

Warner, K.D., et al.. (2017). A homodimer interface without base pairs in an RNA mimic of red fluorescent protein. Nature Chemical Biology. 13(11). 1195–1201. 112 indexed citations

4.

Warner, K.D., Philip Homan, Kevin M. Weeks, et al.. (2014). Validating Fragment-Based Drug Discovery for Biological RNAs: Lead Fragments Bind and Remodel the TPP Riboswitch Specifically. Chemistry & Biology. 21(5). 591–595. 72 indexed citations

5.

Warner, K.D. & A.R. Ferré-D′Amaré. (2014). Crystallographic Analysis of TPP Riboswitch Binding by Small-Molecule Ligands Discovered Through Fragment-Based Drug Discovery Approaches. Methods in enzymology on CD-ROM/Methods in enzymology. 549. 221–233. 3 indexed citations

6.

Warner, K.D., Michael C. Chen, Wenjiao Song, et al.. (2014). Structural basis for activity of highly efficient RNA mimics of green fluorescent protein. Nature Structural & Molecular Biology. 21(8). 658–663. 288 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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