John L. Clifford

2.5k citations
37 papers · 2.0k indexed · 1 hit paper · h-index 20

John L. Clifford

36 papers receiving 2.0k citations

Hit Papers

Stat3 links activated keratinocytes and immunocytes requi...5922004202620112018100200300400500

Peers

John L. Clifford
Comparison fields: 5 of 108
  • Dermatology 343
  • Immunology 611
  • Oncology 591
  • Immunology and Allergy 87
  • Cancer Research 212
Replace Paloma Pérez with:
Paloma Pérez Spain
Qiang Zhou China
Paulina Kulig Switzerland
Kamil Can Akçalı Türkiye
Daisuke Nagakubo Japan
Supandi Winoto‐Morbach Germany
Hiroyuki Hirai Japan
Hiroko Nakatsukasa Japan
Evelyn P. Murphy Ireland
Jason DeVoss United States
John L. Clifford relative to Paloma Pérez Spain Paloma Pérez's profile →
Citations per field
00.5×1.7×
Paloma Pérez · 1×
Citations per year

Countries citing papers authored by John L. Clifford

Since Specialization
Citations

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

Fields of papers citing papers by John L. Clifford

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John L. Clifford. 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 John L. Clifford. The network helps show where John L. Clifford may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20174
2 201622
3 201527
4 20153
5 201515
6 201532
7 20156
8 201415
9 201413
10 201369
11 201120
12 201152
13 201013
14 201023
15 201073
16
Identification of genes involved in early stage bladder pathogenesis
20071
17
Novel derivatives of fusarochromanone: potential therapeutic compounds
20071
18 200789
19
Stat3 links activated keratinocytes and immunocytes required for development of psoriasis in a novel transgenic mouse modelbreakdown →
2004592
20 199430

About John L. Clifford

John L. Clifford is a scholar working on Immunology and Allergy, Dermatology and Rehabilitation, having authored 37 papers that have together received 2.0k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (9 papers), Cytokine Signaling Pathways and Interactions (7 papers), Bladder and Urothelial Cancer Treatments (5 papers), NF-κB Signaling Pathways (5 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), Pediatric Pain Management Techniques (4 papers), Wound Healing and Treatments (3 papers) and Retinoids in leukemia and cellular processes (3 papers). The work is most often cited by research in Dermatology (343 citations), Immunology (611 citations) and Oncology (591 citations). John L. Clifford has collaborated with scholars based in United States, Australia and France. Frequent co-authors include John DiGiovanni, Hideki Chiba, Pierre Chambon, Daniel Metzger, Shigetoshi Sano, Steve Carbajal, Keith Syson Chan, Kaoru Kiguchi, Mary Peavey and Satoshi Itami. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Medicine and Journal of Clinical Oncology.

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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