Kami Ahmad

13.7k total citations · 4 hit papers
71 papers, 8.4k citations indexed

About

Kami Ahmad is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Kami Ahmad has authored 71 papers receiving a total of 8.4k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Molecular Biology, 24 papers in Plant Science and 9 papers in Genetics. Recurrent topics in Kami Ahmad's work include Genomics and Chromatin Dynamics (51 papers), Chromosomal and Genetic Variations (21 papers) and Epigenetics and DNA Methylation (18 papers). Kami Ahmad is often cited by papers focused on Genomics and Chromatin Dynamics (51 papers), Chromosomal and Genetic Variations (21 papers) and Epigenetics and DNA Methylation (18 papers). Kami Ahmad collaborates with scholars based in United States, South Africa and Canada. Kami Ahmad's co-authors include Steven Henikoff, Harmit S. Malik, Jorja G. Henikoff, Hatice S Kaya-Okur, Steven J. Wu, Brian E. Schwartz, Christine A. Codomo, Terri D. Bryson, Gilbert G. Privé and Philip R. Gafken and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Kami Ahmad

70 papers receiving 8.3k citations

Hit Papers

CUT&Tag for effici... 2001 2026 2009 2017 2019 2001 2002 2020 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kami Ahmad United States 39 7.3k 2.6k 1.1k 536 500 71 8.4k
Ana Pombo United Kingdom 41 7.0k 1.0× 1.2k 0.5× 1.1k 1.0× 486 0.9× 589 1.2× 92 8.0k
Jason D. Lieb United States 56 10.6k 1.5× 2.0k 0.8× 1.9k 1.8× 316 0.6× 468 0.9× 112 12.0k
Renato Paro Germany 57 10.3k 1.4× 2.3k 0.9× 1.9k 1.7× 596 1.1× 651 1.3× 119 11.6k
Prim B. Singh United Kingdom 45 5.5k 0.7× 1.4k 0.5× 1.1k 1.0× 274 0.5× 424 0.8× 115 6.6k
Elzo de Wit Netherlands 46 8.6k 1.2× 2.3k 0.9× 1.3k 1.2× 311 0.6× 555 1.1× 80 9.6k
Stéfan Dimitrov France 47 6.2k 0.9× 1.0k 0.4× 727 0.7× 703 1.3× 380 0.8× 139 7.0k
Kent G. Golic United States 27 4.6k 0.6× 1.2k 0.5× 1.1k 1.0× 645 1.2× 327 0.7× 49 5.4k
Jesse R. Dixon United States 21 9.8k 1.3× 2.4k 0.9× 1.9k 1.7× 200 0.4× 649 1.3× 29 10.7k
Paul Lasko Canada 51 7.2k 1.0× 1.1k 0.4× 1.9k 1.7× 584 1.1× 640 1.3× 125 8.8k
Friederike Dündar United States 10 5.6k 0.8× 1.4k 0.5× 854 0.8× 198 0.4× 773 1.5× 16 7.0k

Countries citing papers authored by Kami Ahmad

Since Specialization
Citations

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

Fields of papers citing papers by Kami Ahmad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kami Ahmad

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

All Works

20 of 20 papers shown
1.
Khyzha, Nadiya, Kami Ahmad, & Steven Henikoff. (2025). Profiling transcriptome composition and dynamics within nuclear compartments using SLAM-RT&Tag. Molecular Cell. 85(7). 1366–1380.e4. 2 indexed citations
2.
Henikoff, Steven, Ye Zheng, Ronald M. Paranal, et al.. (2025). RNA polymerase II at histone genes predicts outcome in human cancer. Science. 387(6735). 737–743. 10 indexed citations
3.
Ahmad, Kami, et al.. (2025). Chromatin-bound U2AF2 splicing factor ensures exon inclusion. Molecular Cell. 85(10). 1982–1998.e4. 1 indexed citations
4.
Janssens, Derek H., Charles G. Mullighan, Soheil Meshinchi, et al.. (2024). MLL oncoprotein levels influence leukemia lineage identities. Nature Communications. 15(1). 9341–9341. 5 indexed citations
5.
Wooten, Matthew, et al.. (2023). Aclarubicin stimulates RNA polymerase II elongation at closely spaced divergent promoters. Science Advances. 9(24). eadg3257–eadg3257. 8 indexed citations
6.
Anderson, James T., Steven Henikoff, & Kami Ahmad. (2023). Chromosome-specific maturation of the epigenome in the Drosophila male germline. eLife. 12.
7.
Janssens, Derek H., Steven J. Wu, Christine A. Codomo, et al.. (2023). Scalable single-cell profiling of chromatin modifications with sciCUT&Tag. Nature Protocols. 19(1). 83–112. 11 indexed citations
8.
Janssens, Derek H., et al.. (2022). CUT&Tag2for1: a modified method for simultaneous profiling of the accessible and silenced regulome in single cells. Genome biology. 23(1). 81–81. 37 indexed citations
9.
Ahmad, Kami, et al.. (2021). Cooperative binding between distant transcription factors is a hallmark of active enhancers. Molecular Cell. 81(8). 1651–1665.e4. 46 indexed citations
10.
Ahmad, Kami & Steven Henikoff. (2021). The H3.3K27M oncohistone antagonizes reprogramming in Drosophila. PLoS Genetics. 17(7). e1009225–e1009225. 12 indexed citations
11.
Sarthy, Jay F., Michael P. Meers, Derek H. Janssens, et al.. (2020). Histone deposition pathways determine the chromatin landscapes of H3.1 and H3.3 K27M oncohistones. eLife. 9. 46 indexed citations
12.
Henikoff, Steven, Jorja G. Henikoff, Hatice S Kaya-Okur, & Kami Ahmad. (2020). Efficient chromatin accessibility mapping in situ by nucleosome-tethered tagmentation. eLife. 9. 83 indexed citations
13.
Kaya-Okur, Hatice S, Derek H. Janssens, Jorja G. Henikoff, Kami Ahmad, & Steven Henikoff. (2020). Efficient low-cost chromatin profiling with CUT&Tag. Nature Protocols. 15(10). 3264–3283. 235 indexed citations breakdown →
14.
Kaya-Okur, Hatice S, Steven J. Wu, Christine A. Codomo, et al.. (2019). CUT&Tag for efficient epigenomic profiling of small samples and single cells. Nature Communications. 10(1). 1930–1930. 1233 indexed citations breakdown →
15.
Janssens, Derek H., Steven J. Wu, Jay F. Sarthy, et al.. (2018). Automated in situ chromatin profiling efficiently resolves cell types and gene regulatory programs. Epigenetics & Chromatin. 11(1). 74–74. 45 indexed citations
16.
Ramachandran, Srinivas, Kami Ahmad, & Steven Henikoff. (2017). Transcription and Remodeling Produce Asymmetrically Unwrapped Nucleosomal Intermediates. Molecular Cell. 68(6). 1038–1053.e4. 96 indexed citations
17.
Nègre, Nicolas, Andrew Brown, Parantu K. Shah, et al.. (2010). A Comprehensive Map of Insulator Elements for the Drosophila Genome. PLoS Genetics. 6(1). e1000814–e1000814. 255 indexed citations
18.
Gafken, Philip R., et al.. (2004). Histone H3.3 is enriched in covalent modifications associated with active chromatin. Proceedings of the National Academy of Sciences. 101(6). 1525–1530. 397 indexed citations
19.
Ahmad, Kami, et al.. (1999). A histone-H3-like protein in C. elegans. Nature. 401(6753). 547–548. 217 indexed citations
20.
Ahmad, Kami & Kent G. Golic. (1998). The Transmission of Fragmented Chromosomes in Drosophila melanogaster. Genetics. 148(2). 775–792. 54 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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