Kim Mudd

31 papers receiving 1.3k citations

Kim Mudd's Hit Papers

The natural history of IgE-mediated cow's milk allergy 2007 · 590 citations
5900+6+12Years since publication100200300400500

Peers

Kim Mudd
Comparison fields: 5 of 84
  • Immunology and Allergy 915
  • Dermatology 149
  • Physiology 322
  • Family Practice 18
  • Chemical Health and Safety 7
Replace Denise Serebrisky with:
Denise Serebrisky United States
Bertine M.J. Flokstra-de Blok Netherlands
Nevin W. Wilson United States
Helen R. Fisher United Kingdom
Elizabeth E. Springston United States
Michael Pistiner United States
Jane Grundy United Kingdom
Ruchi S. Gupta United States
Jenny van Odijk Sweden
Deborah A. Gentile United States
Kim Mudd relative to Denise Serebrisky United States Denise Serebrisky's profile →
Citations per field
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Denise Serebrisky · 1×
Citations per year

Countries citing papers authored by Kim Mudd

Since Specialization
Citations

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

Fields of papers citing papers by Kim Mudd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The natural history of IgE-mediated cow's milk allergy
Hit paper breakdown →
2007590
2 2006286
3 199255
4 200647
5 200645
6 200935
7 202132
8 201326
9 201825
10 201124
11 200622
12 200220
13 200515
14 200415
15 200713
16 202213
17 200512
18 201911
19 200810
20 20209

About Kim Mudd

Kim Mudd is a scholar working on Immunology and Allergy, Physiology, Pulmonary and Respiratory Medicine, Dermatology and Infectious Diseases, having authored 32 papers that have together received 1.3k indexed citations. Recurring topics across this work include Food Allergy and Anaphylaxis Research (12 papers), Asthma and respiratory diseases (8 papers), Respiratory and Cough-Related Research (5 papers), Contact Dermatitis and Allergies (3 papers), Allergic Rhinitis and Sensitization (3 papers), Polyomavirus and related diseases (2 papers), Enterobacteriaceae and Cronobacter Research (2 papers) and Food Safety and Hygiene (2 papers). The work is most often cited by research in Immunology and Allergy (915 citations), Dermatology (149 citations), Physiology (322 citations), Family Practice (18 citations) and Chemical Health and Safety (7 citations). Kim Mudd has collaborated with scholars based in United States, France and Thailand. Frequent co-authors include Robert A. Wood, Justin M. Skripak, Elizabeth C. Matsui, Mary E. Bollinger, Lynnda M. Dahlquist, Kristine McKenna, Arlene Butz, Van Doren Hsu, Michele Donithan and Mona Tsoukleris. Their work appears in journals such as Journal of Allergy and Clinical Immunology, Annals of Allergy Asthma & Immunology, The Journal of Allergy and Clinical Immunology In Practice, Journal of Asthma and Pediatric Clinics of North America.

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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