H. Neely

1.0k citations
8 papers · 540 · h-index 4

Impact in

    • RNA and protein synthesis mechanisms
    • RNA modifications and cancer
    • Bacterial biofilms and quorum sensing
    • RNA Research and Splicing
    • Genomics and Phylogenetic Studies

Papers in

    • Biochemical and Molecular Research 2
    • RNA and protein synthesis mechanisms 2
    • RNA modifications and cancer 2
    • Protein Structure and Dynamics 2
    • Signaling Pathways in Disease 1
    • Enzyme Structure and Function 3

H. Neely

8 papers receiving 535 citations

Peers

H. Neely
Comparison fields: 5 of 71
  • Endocrinology 45
  • Molecular Biology 447
  • Genetics 165
  • Molecular Medicine 19
  • Microbiology 21
Replace Mario Bumann with:
Mario Bumann Switzerland
Sonja Hasenbein Germany
Susan Schlimpert United Kingdom
Karen R. Silber United States
Elaine Ito United States
P. Mikael Wikström Sweden
Noël Molière Germany
Dongchang Sun China
Russell Jarrott Australia
C Satishchandran United States
H. Neely relative to Mario Bumann Switzerland Mario Bumann's profile →
Citations per field
00.5×1.7×
Mario Bumann · 1×
Citations per year

Countries citing papers authored by H. Neely

Since Specialization
Citations

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

Fields of papers citing papers by H. Neely

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2016286
2 2007177
3 200958
4 20129
5 20073
6 20073
7 20083
8 20101

About H. Neely

H. Neely is a scholar working on Molecular Biology, Materials Chemistry, Genetics, Organic Chemistry and Ecology, having authored 8 papers that have together received 540 indexed citations. Recurring topics across this work include Enzyme Structure and Function (3 papers), Biochemical and Molecular Research (2 papers), RNA and protein synthesis mechanisms (2 papers), Bacterial Genetics and Biotechnology (2 papers), RNA modifications and cancer (2 papers), Protein Structure and Dynamics (2 papers), Signaling Pathways in Disease (1 paper) and Trace Elements in Health (1 paper). The work is most often cited by research in Endocrinology (45 citations), Molecular Biology (447 citations), Genetics (165 citations), Molecular Medicine (19 citations) and Microbiology (21 citations). H. Neely has collaborated with scholars based in United States, Canada and France. Frequent co-authors include J.F. Hunt, G.T. Montelione, Rong Xiao, Thomas Acton, J.K. Everett, F. Forouhar, W. Nicholson Price, Grégory Boël, Daniel P. Aalberts and Min Su. Their work appears in journals such as Journal of Structural and Functional Genomics, The EMBO Journal, Nature, Protein Science 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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