J E Nutt

481 citations
15 papers · 406 · h-index 11

Impact in

    • Protease and Inhibitor Mechanisms
    • Cancer, Hypoxia, and Metabolism
    • Peptidase Inhibition and Analysis

Papers in

    • Peptidase Inhibition and Analysis 5
    • Cancer Treatment and Pharmacology 1
    • Protease and Inhibitor Mechanisms 7

J E Nutt

15 papers receiving 384 citations

Peers

J E Nutt
Comparison fields: 5 of 66
  • Cancer Research 138
  • Oncology 160
  • Immunology and Allergy 22
  • Endocrinology, Diabetes and Metabolism 59
  • Pulmonary and Respiratory Medicine 94
Replace Daizo Oka with:
Daizo Oka Japan
Koshi Mimori Japan
Sandra Guaita Spain
Hitoshi Funatomi Japan
Hideaki Miyake Japan
Takehiro Wakasugi Japan
S Kinugasa Japan
Thomas Hoelting Germany
Dianqi Xin China
Ichiro Ninomiya Japan
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Citations per field
00.5×1.7×
Daizo Oka · 1×
Citations per year

Countries citing papers authored by J E Nutt

Since Specialization
Citations

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

Fields of papers citing papers by J E Nutt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J E Nutt. 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 J E Nutt. The network helps show where J E Nutt may publish in the future.

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 200369
2 197657
3 200445
4
Prognostic significance of matrix metalloproteinase-1 and tissue inhibitor of metalloproteinase-1 in voided urine samples from patients with transitional cell carcinoma of the bladder.
200137
5
Alteration in urinary matrix metalloproteinase-9 to tissue inhibitor of metalloproteinase-1 ratio predicts recurrence in nonmuscle-invasive bladder cancer.
200337
6 199836
7 199127
8 201025
9 199621
10 200917
11 201516
12 20079
13 19766
14 19743
15 19991

About J E Nutt

J E Nutt is a scholar working on Oncology, Cancer Research, Surgery, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 15 papers that have together received 406 indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (7 papers), Peptidase Inhibition and Analysis (5 papers), Bladder and Urothelial Cancer Treatments (4 papers), Thyroid Disorders and Treatments (3 papers), Lung Cancer Treatments and Mutations (2 papers), Occupational and environmental lung diseases (2 papers), Gastric Cancer Management and Outcomes (1 paper) and Cancer Treatment and Pharmacology (1 paper). The work is most often cited by research in Cancer Research (138 citations), Oncology (160 citations), Immunology and Allergy (22 citations), Endocrinology, Diabetes and Metabolism (59 citations) and Pulmonary and Respiratory Medicine (94 citations). J E Nutt has collaborated with scholars based in United Kingdom, Italy and Germany. Frequent co-authors include John Lunec, J.K. Mellon, J. Kilian Mellon, P. Rajjayabun, David E. Neal, F. CLARK, Khaver Qureshi, Adrian L. Harris, K O’Toole and R. Hall. Their work appears in journals such as British Journal of Cancer, European Journal of Cancer, Clinical Lung Cancer, The Journal of Urology and British Journal of Urology.

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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