Judith Noble‐Wang

71 papers receiving 2.6k citations

Peers

Judith Noble‐Wang
Comparison fields: 5 of 146
  • Infectious Diseases 1.1k
  • Endocrinology 259
  • Molecular Medicine 231
  • Applied Microbiology and Biotechnology 85
  • Ophthalmology 369
Replace Jagdish Chander with:
Jagdish Chander India
Colin Block Israel
Bijie Hu China
Jesús Guinea Spain
Iain B. Gosbell Australia
Phyllis Della‐Latta United States
Kazunori Tomono Japan
Kathryn L. Ruoff United States
William G. Merz United States
N.M. Khardori United States
Judith Noble‐Wang relative to Jagdish Chander India Jagdish Chander's profile →
Citations per field
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Citations per year

Countries citing papers authored by Judith Noble‐Wang

Since Specialization
Citations

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

Fields of papers citing papers by Judith Noble‐Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Judith Noble‐Wang. 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 Judith Noble‐Wang. The network helps show where Judith Noble‐Wang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 202311
2 202112
3 202040
4 20193
5 20196
6 20181
7 201740
8 201673
9 20158
10 201411
11 201314
12 201311
13 201212
14 201281
15 200926
16 2008175
17 200820
18 200724
19 2007115
20 200411

About Judith Noble‐Wang

Judith Noble‐Wang is a scholar working on Chemical Health and Safety, Applied Microbiology and Biotechnology, Endocrinology, Molecular Medicine and Critical Care and Intensive Care Medicine, having authored 71 papers that have together received 2.7k indexed citations. Recurring topics across this work include Infection Control in Healthcare (13 papers), Nosocomial Infections in ICU (9 papers), Antifungal resistance and susceptibility (9 papers), Antibiotic Resistance in Bacteria (9 papers), Clostridium difficile and Clostridium perfringens research (7 papers), Bacterial Identification and Susceptibility Testing (7 papers), Infections and bacterial resistance (7 papers) and Mycobacterium research and diagnosis (7 papers). The work is most often cited by research in Infectious Diseases (1.1k citations), Endocrinology (259 citations), Molecular Medicine (231 citations), Applied Microbiology and Biotechnology (85 citations) and Ophthalmology (369 citations). Judith Noble‐Wang has collaborated with scholars based in United States, Uganda and Australia. Frequent co-authors include Laura J. Rose, Arjun Srinivasan, Matthew J. Arduino, Benjamin J. Park, Douglas C. Chang, Kerry O’Donnell, Bette Jensen, L. Clifford McDonald, Carol Y. Rao and Mary E. Brandt. Their work appears in journals such as Infection Control and Hospital Epidemiology, Clinical Infectious Diseases, American Journal of Infection Control, Applied and Environmental Microbiology 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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