John E. Battersby

781 citations
14 papers · 672 · h-index 11

Impact in

Papers in

    • Protein purification and stability 5
    • Chemical Synthesis and Analysis 3
    • RNA and protein synthesis mechanisms 3
    • Glycosylation and Glycoproteins Research 2
    • Machine Learning in Bioinformatics 2
    • Monoclonal and Polyclonal Antibodies Research 5

John E. Battersby

14 papers receiving 618 citations

Peers

John E. Battersby
Comparison fields: 5 of 74
  • Radiology, Nuclear Medicine and Imaging 211
  • Molecular Biology 519
  • Spectroscopy 125
  • Biotechnology 48
  • Organic Chemistry 104
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Citations per year

Countries citing papers authored by John E. Battersby

Since Specialization
Citations

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

Fields of papers citing papers by John E. Battersby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John E. Battersby. 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 John E. Battersby. The network helps show where John E. Battersby may publish in the future.

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 1976250
2 2007113
3 200472
4 197957
5 199448
6 200129
7 199628
8 199521
9 199615
10 197514
11 199410
12 200910
13 19993
14
Delivery of recombinant human growth hormone to rats during exposure to microgravity on NASA Space Shuttle Discovery.
19922

About John E. Battersby

John E. Battersby is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Endocrinology, Diabetes and Metabolism, Spectroscopy and Organic Chemistry, having authored 14 papers that have together received 672 indexed citations. Recurring topics across this work include Protein purification and stability (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Growth Hormone and Insulin-like Growth Factors (4 papers), Analytical Chemistry and Chromatography (3 papers), Chemical Synthesis and Analysis (3 papers), RNA and protein synthesis mechanisms (3 papers), Glycosylation and Glycoproteins Research (2 papers) and Machine Learning in Bioinformatics (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (211 citations), Molecular Biology (519 citations), Spectroscopy (125 citations), Biotechnology (48 citations) and Organic Chemistry (104 citations). John E. Battersby has collaborated with scholars based in New Zealand, United States and Switzerland. Frequent co-authors include William S. Hancock, David Harding, Andrew J. S. Jones, Rodney G. Keck, Christina Chen, Damon I. Papac, Kathleen M. Champion, J Kneer, Sharon A. Baughman and Yvonne S. Lin. Their work appears in journals such as Analytical Biochemistry, Journal of Chromatography A, Journal of Controlled Release, Biotechnology and Bioengineering and Glycobiology.

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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