Gemma Mudd

653 citations
24 papers · 416 · h-index 11

Impact in

Papers in

Gemma Mudd

18 papers receiving 399 citations

Peers

Gemma Mudd
Comparison fields: 5 of 51
  • Radiology, Nuclear Medicine and Imaging 137
  • Oncology 152
  • Molecular Biology 222
  • Immunology and Allergy 17
  • Organic Chemistry 72
Replace Silvia Pavan with:
Silvia Pavan Italy
Katerine Van Rietschoten United Kingdom
Lucía De Rosa Italy
Jingli Xu United States
Paul Hoppenz Germany
Lia Luus United States
Punit Upadhyaya United States
Chris Leiske United States
Robert Cass United States
Cindy Balasubramanian United States
Gemma Mudd relative to Silvia Pavan Italy Silvia Pavan's profile →
Citations per field
00.5×4.3×
Silvia Pavan · 1×
Citations per year

Countries citing papers authored by Gemma Mudd

Since Specialization
Citations

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

Fields of papers citing papers by Gemma Mudd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202077
2 202261
3 202055
4 201952
5 202246
6 201726
7 201523
8 201414
9 202412
10 202211
11 202210
12 20198
13 20127
14 20196
15 20182
16 20251
17 20191
18 20191
19 20181
20 20191

About Gemma Mudd

Gemma Mudd is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Oncology, Immunology and Cellular and Molecular Neuroscience, having authored 24 papers that have together received 416 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (11 papers), Axon Guidance and Neuronal Signaling (6 papers), Click Chemistry and Applications (5 papers), Chemical Synthesis and Analysis (5 papers), Peptidase Inhibition and Analysis (5 papers), Glycosylation and Glycoproteins Research (4 papers), Toxin Mechanisms and Immunotoxins (4 papers) and Biochemical and Structural Characterization (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (137 citations), Oncology (152 citations), Molecular Biology (222 citations), Immunology and Allergy (17 citations) and Organic Chemistry (72 citations). Gemma Mudd has collaborated with scholars based in United Kingdom, Germany and Switzerland. Frequent co-authors include Liuhong Chen, Katerine Van Rietschoten, Amy Brown, Gavin Bennett, Silvia Pavan, Philip Huxley, Johanna Lahdenranta, Nicholas Keen, Manfred Auer and Paul Beswick. Their work appears in journals such as Cancer Research, Molecular Cancer Therapeutics, Journal of Medicinal Chemistry, Methods and Applications in Fluorescence and Bioconjugate 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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