Kenneth D. Noonan

1.1k citations
25 papers · 897 indexed · h-index 12
Topics
Glycosylation and Glycoproteins Research (5 papers)Monoclonal and Polyclonal Antibodies Research (5 papers)Viral Infectious Diseases and Gene Expression in Insects (4 papers)
Partner nations
United States

In The Last Decade

Kenneth D. Noonan

25 papers receiving 803 citations

Peers

Kenneth D. Noonan
Comparison fields: 5 of 105
  • Molecular Biology 607
  • Immunology 137
  • Cell Biology 125
  • Genetics 92
  • Biomedical Engineering 91
Replace M.C.M. Chung with:
M.C.M. Chung Singapore
Jana Narasimhan United States
Leela Daya–Grosjean France
George L. Eliceiri United States
H Jakob France
Dibyendu Bhattacharyya United States
Hitto Kaufmann Germany
J E Celis Denmark
A Viron France
G W Bazill United Kingdom
Kenneth D. Noonan relative to M.C.M. Chung Singapore M.C.M. Chung's profile →
Citations per field
00.5×1.5×2.5×
M.C.M. Chung · 1×
Citations per year

Countries citing papers authored by Kenneth D. Noonan

Since Specialization
Citations

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

Fields of papers citing papers by Kenneth D. Noonan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kenneth D. Noonan

This figure shows the co-authorship network connecting the top 25 collaborators of Kenneth D. Noonan. A scholar is included among the top collaborators of Kenneth D. Noonan 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 Kenneth D. Noonan. Kenneth D. Noonan 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
Six Siderophore-Producing Microorganisms Identified in Biological Soil Crusts
1
2 3
3 71
4 23
5 15
6 9
7 13
8 7
9 3
10 10
11 11
12 27
13 7
14 4
15 8
16 146
17 99
18 29
19 6
20 293

About Kenneth D. Noonan

Kenneth D. Noonan is a scholar working on Surfaces, Coatings and Films, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 25 papers that have together received 897 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Viral Infectious Diseases and Gene Expression in Insects (4 papers). The work is most often cited by research in Molecular Biology (607 citations), Cell Biology (125 citations) and Biotechnology (60 citations). Kenneth D. Noonan has collaborated with scholars based in United States. Frequent co-authors include Max M. Burger, Tatjana Seitz, Larry L. Hench, Arnold J. Levine, Raju Kucherlapati, Hartmut C. Renger, Claudio Basilico, Eli Gilboa, Gregory E. Conner and T. E. Ukena. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences 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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