Jeremy D. Glasner

13.7k citations
42 papers · 8.9k indexed · 1 hit paper · h-index 26

Jeremy D. Glasner

42 papers receiving 8.6k citations

Hit Papers

The Complete Genome Sequence of Escherichia coli K-125.9k199720262006201610002.0k3.0k4.0k5.0k

Peers

Jeremy D. Glasner
Comparison fields: 5 of 158
  • Endocrinology 1.1k
  • Genetics 3.0k
  • Molecular Medicine 523
  • Molecular Biology 5.9k
  • Ecology 1.7k
Replace Ying Shao with:
Ying Shao China
Debra J. Rose United States
Julio Collado‐Vides Mexico
Franz Narberhaus Germany
Tracy Palmer United Kingdom
George F. Mayhew United States
Martin Buck United Kingdom
Miguel Vicente Spain
Tomoya Baba Japan
John R. Roth United States
Jeremy D. Glasner relative to Ying Shao China Ying Shao's profile →
Citations per field
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Ying Shao · 1×
Citations per year

Countries citing papers authored by Jeremy D. Glasner

Since Specialization
Citations

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

Fields of papers citing papers by Jeremy D. Glasner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Jeremy D. Glasner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jeremy D. Glasner Line = papers co-authored together Jeremy D. Glasner links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201412
2 20137
3 201233
4 201154
5 201019
6 200916
7 200952
8 200891
9 2006275
10 200656
11 20064
12 200633
13 200551
14 2003132
15 200394
16 200351
17 200369
18 20024
19 2002132
20
Using Multiple Levels of Learning and Diverse Evidence to Uncover Coordinately Controlled Genes
20003

About Jeremy D. Glasner

Jeremy D. Glasner is a scholar working on Endocrinology, Plant Science and Genetics, having authored 42 papers that have together received 8.9k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (11 papers), Plant Pathogenic Bacteria Studies (11 papers), Plant-Microbe Interactions and Immunity (9 papers), Bacterial Genetics and Biotechnology (9 papers), RNA and protein synthesis mechanisms (8 papers), Legume Nitrogen Fixing Symbiosis (6 papers), Plant Pathogens and Fungal Diseases (5 papers) and Gene expression and cancer classification (5 papers). The work is most often cited by research in Endocrinology (1.1k citations), Genetics (3.0k citations) and Molecular Medicine (523 citations). Jeremy D. Glasner has collaborated with scholars based in United States, United Kingdom and Mexico. Frequent co-authors include Nicole T. Perna, Frederick R. Blattner, Bob Mau, Julio Collado‐Vides, Guy Plunkett, Christopher K. Rode, Valerie Burland, George F. Mayhew, Monica Riley and Heather Kirkpatrick. Their work appears in journals such as Science, Nucleic Acids Research and Bioinformatics.

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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