Arkady Khodursky

6.4k citations
54 papers · 4.6k indexed · 2 hit papers · h-index 27
Topics
Bacterial Genetics and Biotechnology (19 papers)Gene expression and cancer classification (17 papers)Genomics and Chromatin Dynamics (13 papers)

In The Last Decade

Arkady Khodursky

52 papers receiving 4.5k citations

Hit Papers

Global analysis of mRNA decay and abundance in Escherichi...200120262009201720022001200400600

Peers

Arkady Khodursky
Comparison fields: 5 of 140
  • Molecular Biology 3.8k
  • Genetics 1.9k
  • Ecology 727
  • Molecular Medicine 637
  • Pharmacology 290
Replace Masaaki Wachi with:
Masaaki Wachi Japan
Hironori Niki Japan
Sota Hiraga Japan
Giovanna Riccardi Italy
Richard D’Ari France
P T Barth United Kingdom
Ulrike Mäder Germany
Mark J. Buttner United Kingdom
Kyle R. Allison United States
V. N. Iyer Canada
Arkady Khodursky relative to Masaaki Wachi Japan Masaaki Wachi's profile →
Citations per field
00.5×1.5×
Masaaki Wachi · 1×
Citations per year

Countries citing papers authored by Arkady Khodursky

Since Specialization
Citations

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

Fields of papers citing papers by Arkady Khodursky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arkady Khodursky

This figure shows the co-authorship network connecting the top 25 collaborators of Arkady Khodursky. A scholar is included among the top collaborators of Arkady Khodursky 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 Arkady Khodursky. Arkady Khodursky 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
#WorkIndexed citations
1 0
2 12
3 13
4 22
5 64
6 33
7 8
8 6
9 56
10 18
11 35
12
AIChE Annual Meeting, Conference Proceedings
16
13 97
14 5
15 232
16 133
17 61
18
Global analysis of mRNA decay and abundance in Escherichia coli at single-gene resolution using two-color fluorescent DNA microarraysbreakdown →
686
19 22
20 163

About Arkady Khodursky

Arkady Khodursky is a scholar working on Molecular Medicine, Genetics and Molecular Biology, having authored 54 papers that have together received 4.6k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (19 papers), Gene expression and cancer classification (17 papers) and Genomics and Chromatin Dynamics (13 papers). The work is most often cited by research in Molecular Medicine (637 citations), Genetics (1.9k citations) and Molecular Biology (3.8k citations). Arkady Khodursky has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Nicholas R. Cozzarelli, Brian J. Peter, Patrick O. Brown, Lynn Zechiedrich, Philip C. Hanawalt, Jonathan A. Bernstein, Sue Lin‐Chao, Stanley N. Cohen, Justin Courcelle and Volker F. Wendisch. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

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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