Richard E. Higgs

6.4k citations
70 papers · 3.0k indexed · h-index 29
Topics
Mass Spectrometry Techniques and Applications (10 papers)Monoclonal and Polyclonal Antibodies Research (10 papers)Advanced Proteomics Techniques and Applications (10 papers)

In The Last Decade

Richard E. Higgs

68 papers receiving 2.9k citations

Peers

Richard E. Higgs
Comparison fields: 5 of 142
  • Molecular Biology 1.3k
  • Physiology 502
  • Spectroscopy 425
  • Computational Theory and Mathematics 424
  • Pharmacology 357
Replace Irina A. Pikuleva with:
Irina A. Pikuleva United States
Ru Wei United States
Luigi Puglielli United States
G S Tint United States
Shinobu Kitazume Japan
Byong Chul Yoo South Korea
Carsten Hopf Germany
Jing Huang United States
Igor F. Tsigelny United States
Joanna Amberger United States
Richard E. Higgs relative to Irina A. Pikuleva United States Irina A. Pikuleva's profile →
Citations per field
00.5×2.5×
Irina A. Pikuleva · 1×
Citations per year

Countries citing papers authored by Richard E. Higgs

Since Specialization
Citations

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

Fields of papers citing papers by Richard E. Higgs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard E. Higgs

This figure shows the co-authorship network connecting the top 25 collaborators of Richard E. Higgs. A scholar is included among the top collaborators of Richard E. Higgs based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Richard E. Higgs. Richard E. Higgs is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 9
3 1
4 20
5 14
6 1
7 12
8 57
9 35
10 108
11 125
12 88
13 30
14 20
15 22
16 32
17 31
18 462
19 4
20 33

About Richard E. Higgs

Richard E. Higgs is a scholar working on Spectroscopy, Immunology and Rheumatology, having authored 70 papers that have together received 3.0k indexed citations. Recurring topics across this work include Mass Spectrometry Techniques and Applications (10 papers), Monoclonal and Polyclonal Antibodies Research (10 papers) and Advanced Proteomics Techniques and Applications (10 papers). The work is most often cited by research in Biological Psychiatry (92 citations), Neurology (255 citations) and Computational Theory and Mathematics (424 citations). Richard E. Higgs has collaborated with scholars based in United States, United Kingdom and Austria. Frequent co-authors include Michael D. Knierman, Michal Vieth, John E. Hale, D. H. Robertson, Yuejun Zhen, Ian A. Watson, Valentina Gelfanova, Jon P. Butler, Jesus A. Gutierrez and Feng Liu. Their work appears in journals such as Nature Medicine, Bioinformatics and PLoS ONE.

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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