Arjun K. Aditham

730 total citations · 2 hit papers
12 papers, 436 citations indexed

About

Arjun K. Aditham is a scholar working on Molecular Biology, Ecology and Infectious Diseases. According to data from OpenAlex, Arjun K. Aditham has authored 12 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 2 papers in Ecology and 1 paper in Infectious Diseases. Recurrent topics in Arjun K. Aditham's work include RNA and protein synthesis mechanisms (6 papers), Genomics and Chromatin Dynamics (4 papers) and RNA Research and Splicing (3 papers). Arjun K. Aditham is often cited by papers focused on RNA and protein synthesis mechanisms (6 papers), Genomics and Chromatin Dynamics (4 papers) and RNA Research and Splicing (3 papers). Arjun K. Aditham collaborates with scholars based in United States, Sweden and Israel. Arjun K. Aditham's co-authors include Felipe Cava, Carolyn R. Bertozzi, M. Sloan Siegrist, John C. Jewett, Polly M. Fordyce, Tyler C. Shimko, Emil Marklund, Scott A. Longwell, Yaron Orenstein and Amr M. Alexandari and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Arjun K. Aditham

12 papers receiving 434 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.

d -Amino Acid Chemical Reporters Reveal Peptidoglycan Dynamics of an Intracellular Pathogen

2012 204 citations M. Sloan Siegrist, John C. Jewett et al. ACS Chemical Biology profile →
Short tandem repeats bind transcription factors to tune eukaryotic gene expression

2023 98 citations Amr M. Alexandari, Michael G.B. Hayes et al. Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Arjun K. Aditham United States	7	305	99	81	61	55	12	436
Kristen E. DeMeester United States	13	325 1.1×	104 1.1×	86 1.1×	167 2.7×	35 0.6×	20	532
Sean E. Pidgeon United States	11	173 0.6×	48 0.5×	96 1.2×	79 1.3×	52 0.9×	15	333
Leonard K. Pattenden Australia	14	437 1.4×	60 0.6×	65 0.8×	97 1.6×	98 1.8×	18	670
Charlotte A. Stoneham United States	14	233 0.8×	100 1.0×	63 0.8×	17 0.3×	83 1.5×	23	492
R. Scott Houliston Canada	14	350 1.1×	41 0.4×	52 0.6×	116 1.9×	41 0.7×	19	500
Laura B. Ruiz-Ávila Spain	9	234 0.8×	183 1.8×	156 1.9×	60 1.0×	50 0.9×	9	410
D.J. Leibly United States	14	405 1.3×	55 0.6×	63 0.8×	29 0.5×	61 1.1×	20	681
Andreas Naegeli Switzerland	11	350 1.1×	41 0.4×	47 0.6×	87 1.4×	21 0.4×	13	430
Lin‐Ya Huang Taiwan	11	267 0.9×	131 1.3×	33 0.4×	123 2.0×	53 1.0×	14	379
Jérémy Boilevin Switzerland	9	375 1.2×	46 0.5×	50 0.6×	144 2.4×	26 0.5×	10	459

Countries citing papers authored by Arjun K. Aditham

Since Specialization

Citations

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

Fields of papers citing papers by Arjun K. Aditham

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arjun K. Aditham

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

All Works

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12 of 12 papers shown

Aditham, Arjun K., et al.. (2025). Mutations to transcription factor MAX allosterically increase DNA selectivity by altering folding and binding pathways. Nature Communications. 16(1). 636–636. 2 indexed citations

Aditham, Arjun K., et al.. (2025). Deep mutational scanning of rabies glycoprotein defines mutational constraint and antibody-escape mutations. Cell Host & Microbe. 33(6). 988–1003.e10. 1 indexed citations

Alexandari, Amr M., Michael G.B. Hayes, Emil Marklund, et al.. (2023). Short tandem repeats bind transcription factors to tune eukaryotic gene expression. Science. 381(6664). eadd1250–eadd1250. 98 indexed citations breakdown →

Iketani, Sho, Seo Jung Hong, Bruce Culbertson, et al.. (2022). Functional map of SARS-CoV-2 3CL protease reveals tolerant and immutable sites. Cell Host & Microbe. 30(10). 1354–1362.e6. 32 indexed citations

Alexandari, Amr M., Michael G.B. Hayes, Julia M. Schaepe, et al.. (2022). Short tandem repeats recruit transcription factors to tune eukaryotic gene expression. Biophysical Journal. 121(3). 287a–288a. 1 indexed citations

Espaillat, Akbar, et al.. (2020). Chemically Induced Cell Wall Stapling in Bacteria. Cell chemical biology. 28(2). 213–220.e4. 10 indexed citations

Aditham, Arjun K., Craig J. Markin, Daniel A. Mokhtari, Nicole DelRosso, & Polly M. Fordyce. (2020). High-Throughput Affinity Measurements of Transcription Factor and DNA Mutations Reveal Affinity and Specificity Determinants. Cell Systems. 12(2). 112–127.e11. 21 indexed citations

Fordyce, Polly M., et al.. (2020). Leveraging Microfluidics for High‐Throughput Studies of Transcription Factor/DNA Binding. The FASEB Journal. 34(S1). 1–1. 1 indexed citations

Le, Daniel D., Tyler C. Shimko, Arjun K. Aditham, et al.. (2018). Comprehensive, high-resolution binding energy landscapes reveal context dependencies of transcription factor binding. Proceedings of the National Academy of Sciences. 115(16). E3702–E3711. 51 indexed citations

10.

Aditham, Arjun K., Tyler C. Shimko, & Polly M. Fordyce. (2018). BET-seq: Binding energy topographies revealed by microfluidics and high-throughput sequencing. Methods in cell biology. 148. 229–250. 3 indexed citations

11.

Aditham, Arjun K., Akbar Espaillat, Todd A. Cameron, et al.. (2015). Host Actin Polymerization Tunes the Cell Division Cycle of an Intracellular Pathogen. Cell Reports. 11(4). 499–507. 12 indexed citations

12.

Siegrist, M. Sloan, et al.. (2012). d -Amino Acid Chemical Reporters Reveal Peptidoglycan Dynamics of an Intracellular Pathogen. ACS Chemical Biology. 8(3). 500–505. 204 indexed citations breakdown →

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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