Shane C. Dillon

8.4k citations
15 papers · 1.7k indexed · 2 hit papers · h-index 11
Topics
Bacterial Genetics and Biotechnology (5 papers)Genomics and Chromatin Dynamics (5 papers)RNA and protein synthesis mechanisms (4 papers)

In The Last Decade

Shane C. Dillon

15 papers receiving 1.7k citations

Hit Papers

Bacterial nucleoid-associated proteins, nucleoid structur...200520262012201920102005200400600

Peers

Shane C. Dillon
Comparison fields: 5 of 100
  • Molecular Biology 1.4k
  • Genetics 605
  • Ecology 293
  • Endocrinology 126
  • Plant Science 121
Replace Igor Levchenko with:
Igor Levchenko United States
Kiyonobu Karata Japan
Anna Perederina United States
Undine Mechold France
Vladimir Svetlov United States
Sean D. Colloms United Kingdom
Justin Courcelle United States
Eric Kofoid United States
Briana M. Burton United States
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Shane C. Dillon relative to Igor Levchenko United States Igor Levchenko's profile →
Citations per field
00.5×2.8×
Igor Levchenko · 1×
Citations per year

Countries citing papers authored by Shane C. Dillon

Since Specialization
Citations

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

Fields of papers citing papers by Shane C. Dillon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shane C. Dillon. 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 Shane C. Dillon. The network helps show where Shane C. Dillon may publish in the future.

Co-authorship network of co-authors of Shane C. Dillon

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1 1
2 10
3
Alternative Methods to Traditional Written Exam-Based Assessment
2
4 7
5 17
6 23
7 63
8
Bacterial nucleoid-associated proteins, nucleoid structure and gene expressionbreakdown →
657
9 55
10 17
11 72
12 70
13 32
14
The SET-domain protein superfamily: protein lysine methyltransferases.breakdown →
579
15 142

About Shane C. Dillon

Shane C. Dillon is a scholar working on Molecular Medicine, Genetics and Endocrinology, having authored 15 papers that have together received 1.7k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (5 papers), Genomics and Chromatin Dynamics (5 papers) and RNA and protein synthesis mechanisms (4 papers). The work is most often cited by research in Endocrinology (126 citations), Molecular Medicine (109 citations) and Genetics (605 citations). Shane C. Dillon has collaborated with scholars based in Ireland, United Kingdom and Spain. Frequent co-authors include Charles J. Dorman, Raymond C. Trievel, Xiaodong Cheng, Xing Zhang, Alex Bateman, Karsten Hokamp, Andrew D. S. Cameron, David Vetrie, Alexander W. Bruce and Sacha Lucchini. Their work appears in journals such as PLoS ONE, Nature Reviews Microbiology and Scientific Reports.

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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