Michael Moxness

1.9k citations
28 papers · 1.4k · h-index 16

Impact in

Papers in

    • Protein purification and stability 10
    • Advanced Biosensing Techniques and Applications 2
    • Biosimilars and Bioanalytical Methods 13

Michael Moxness

28 papers receiving 1.3k citations

Peers

Michael Moxness
Comparison fields: 5 of 89
  • Immunology 770
  • Radiology, Nuclear Medicine and Imaging 617
  • Developmental Neuroscience 43
  • Oncology 264
  • Cellular and Molecular Neuroscience 141
Replace Raphaël Boisgard with:
Raphaël Boisgard France
Katsuya Sakai Japan
Arumugam Muruganandam Canada
Sean K. Wang United States
Paul T. Winnard United States
Heli Liu China
Johannes T. Wessels Germany
Veerle Kersemans United Kingdom
Scott P. Kennedy United States
Jean‐Paul Castaigne Canada
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Citations per field
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Raphaël Boisgard · 1×
Citations per year

Countries citing papers authored by Michael Moxness

Since Specialization
Citations

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

Fields of papers citing papers by Michael Moxness

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008452
2 2008233
3 201693
4 200785
5 199084
6 201666
7 200563
8 200752
9 201045
10 200729
11 201528
12 199428
13 201427
14 199622
15 201219
16 200718
17 201114
18 200513
19 200312
20 199610

About Michael Moxness

Michael Moxness is a scholar working on Molecular Biology, Immunology, Radiology, Nuclear Medicine and Imaging, Cellular and Molecular Neuroscience and Oncology, having authored 28 papers that have together received 1.4k indexed citations. Recurring topics across this work include Biosimilars and Bioanalytical Methods (13 papers), Monoclonal and Polyclonal Antibodies Research (12 papers), Protein purification and stability (10 papers), Nerve injury and regeneration (4 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Advanced Biosensing Techniques and Applications (2 papers), Clinical Laboratory Practices and Quality Control (2 papers) and Erythrocyte Function and Pathophysiology (2 papers). The work is most often cited by research in Immunology (770 citations), Radiology, Nuclear Medicine and Imaging (617 citations), Developmental Neuroscience (43 citations), Oncology (264 citations) and Cellular and Molecular Neuroscience (141 citations). Michael Moxness has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Steven J. Swanson, Eugen Koren, Holly W. Smith, Deborah Finco‐Kent, Valerie Quarmby, Linda A. Zuckerman, Boris Gorovits, Gopi Shankar, Viswanath Devanarayan and Yu Chen Barrett. Their work appears in journals such as The AAPS Journal, Toxicologic Pathology, Journal of Immunological Methods, Annals of the Rheumatic Diseases and Biochemistry.

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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