Andrew G. Hadd

4.6k citations
43 papers · 3.4k indexed · 1 hit paper · h-index 24

Andrew G. Hadd

41 papers receiving 3.3k citations

Hit Papers

Bacterial Rhodopsin: Evidence for a New Type of Phototrop...1.1k20002026200820172505007501000

Peers

Andrew G. Hadd
Comparison fields: 5 of 127
  • Genetics 1.0k
  • Cellular and Molecular Neuroscience 679
  • Cognitive Neuroscience 715
  • Molecular Biology 1.9k
  • Ecology 698
Replace Christian Lange with:
Christian Lange Germany
Keiichi Inoue Japan
Noboru Yumoto Japan
Yoshihiro Ohmiya Japan
Terry E. Meyer United States
Jeff Coleman United States
David C. Gadsby United States
Thomas E. DeCoursey United States
Shannon J. Moore United States
Costel C. Darie United States
Andrew G. Hadd relative to Christian Lange Germany Christian Lange's profile →
Citations per field
00.5×10×17.0×
Christian Lange · 1×
Citations per year

Countries citing papers authored by Andrew G. Hadd

Since Specialization
Citations

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

Fields of papers citing papers by Andrew G. Hadd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew G. Hadd. 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 Andrew G. Hadd. The network helps show where Andrew G. Hadd may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 201947
3 20198
4 201813
5 20162
6 201610
7 201466
8 201414
9 201413
10 201442
11 201482
12 201399
13 2013141
14 201114
15 201169
16 200515
17 200413
18
Bacterial Rhodopsin: Evidence for a New Type of Phototrophy in the Seabreakdown →
20001069
19 200012
20 199626

About Andrew G. Hadd

Andrew G. Hadd is a scholar working on Genetics, Cognitive Neuroscience and Physical and Theoretical Chemistry, having authored 43 papers that have together received 3.4k indexed citations. Recurring topics across this work include Genetics and Neurodevelopmental Disorders (18 papers), Autism Spectrum Disorder Research (13 papers), Genomic variations and chromosomal abnormalities (8 papers), RNA modifications and cancer (5 papers), Cancer Genomics and Diagnostics (5 papers), RNA and protein synthesis mechanisms (5 papers), Genomics and Rare Diseases (4 papers) and Microfluidic and Capillary Electrophoresis Applications (4 papers). The work is most often cited by research in Genetics (1.0k citations), Cellular and Molecular Neuroscience (679 citations) and Cognitive Neuroscience (715 citations). Andrew G. Hadd has collaborated with scholars based in United States, Spain and Italy. Frequent co-authors include Stevan Jovanovich, J. Michael Ramsey, Stephen C. Jacobson, Gary J. Latham, Oded Béjà, Linh P. Nguyen, Edward F. DeLong, L. Aravind, Marcelino T. Suzuki and Robert A. Feldman.

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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