Rachel D. Hood

3.3k citations
12 papers · 2.5k indexed · 2 hit papers · h-index 12

Rachel D. Hood

12 papers receiving 2.5k citations

Hit Papers

Type VI secretion delivers bacteriolytic effectors to tar...5552010202620152020200400600

Peers

Rachel D. Hood
Comparison fields: 5 of 92
  • Endocrinology 1.7k
  • Molecular Medicine 766
  • Genetics 542
  • Molecular Biology 986
  • Ecology 281
Replace Nadia Dolganov with:
Nadia Dolganov United States
Sandra Da Re France
Dmitri A. Ryjenkov United States
Ellie Harrison United Kingdom
Ann M. Stevens United States
Sinem Beyhan United States
C. Bernard France
Brian K. Hammer United States
Mark L. Urbanowski United States
Carey Lambert United Kingdom
Rachel D. Hood relative to Nadia Dolganov United States Nadia Dolganov's profile →
Citations per field
00.5×4.6×
Nadia Dolganov · 1×
Citations per year

Countries citing papers authored by Rachel D. Hood

Since Specialization
Citations

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

Fields of papers citing papers by Rachel D. Hood

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Rachel D. Hood, 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 Rachel D. Hood Line = papers co-authored together Rachel D. Hood links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 201884
2 201723
3 2016158
4 201681
5 201426
6 201281
7 2012235
8 201179
9
Type VI secretion delivers bacteriolytic effectors to target cellsbreakdown →
2011555
10
A Type VI Secretion System of Pseudomonas aeruginosa Targets a Toxin to Bacteriabreakdown →
2010718
11 2010169
12 2010303

About Rachel D. Hood

Rachel D. Hood is a scholar working on Endocrinology, Molecular Medicine and Biophysics, having authored 12 papers that have together received 2.5k indexed citations. Recurring topics across this work include Vibrio bacteria research studies (8 papers), Antibiotic Resistance in Bacteria (6 papers), Photosynthetic Processes and Mechanisms (4 papers), Bacterial biofilms and quorum sensing (4 papers), Photoreceptor and optogenetics research (3 papers), Microbial Community Ecology and Physiology (2 papers), Escherichia coli research studies (2 papers) and Microbial Metabolic Engineering and Bioproduction (1 paper). The work is most often cited by research in Endocrinology (1.7k citations), Molecular Medicine (766 citations) and Genetics (542 citations). Rachel D. Hood has collaborated with scholars based in United States, United Kingdom and Denmark. Frequent co-authors include Joseph D. Mougous, Sandra Schwarz, Alistair B. Russell, Waldemar Vollmer, Nhat Khai Bui, Michele LeRoux, Mike A. Carl, David F. Savage, Pragya Singh and David R. Goodlett. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Molecular Microbiology.

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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