J Clark

2.3k citations
18 papers · 1.6k · h-index 15

Impact in

Papers in

J Clark

18 papers receiving 1.5k citations

Peers

J Clark
Comparison fields: 5 of 71
  • Pulmonary and Respiratory Medicine 1.1k
  • Cancer Research 296
  • Oncology 358
  • Rheumatology 196
  • Pathology and Forensic Medicine 214
Replace Daniel Wai with:
Daniel Wai United States
Giovanna Magagnoli Italy
Anne Forus Norway
A. Jayne Crew United Kingdom
Gaëlle Pérot France
Benjamin S. Braun United States
Simone Hettmer Germany
Pauline Lagarde France
Frédérique Keslair France
Takahiro Gotoh Japan
J Clark relative to Daniel Wai United States Daniel Wai's profile →
Citations per field
00.5×1.5×1.8×
Daniel Wai · 1×
Citations per year

Countries citing papers authored by J Clark

Since Specialization
Citations

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

Fields of papers citing papers by J Clark

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 1995382
2 2006190
3
Fusion of the EWS gene to CHN, a member of the steroid/thyroid receptor gene superfamily, in a human myxoid chondrosarcoma.
1996139
4 2003130
5 2007112
6 201382
7 200481
8 200879
9
Interphase fluorescence in situ hybridization and reverse transcription polymerase chain reaction as a diagnostic aid for synovial sarcoma.
199678
10 200373
11 200955
12 199542
13
The t(X;18)(p11.2;q11.2) translocation found in human synovial sarcomas involves two distinct loci on the X chromosome.
199441
14 199132
15 199218
16 200512
17 20099
18 20121

About J Clark

J Clark is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Cancer Research, Pathology and Forensic Medicine and Cardiology and Cardiovascular Medicine, having authored 18 papers that have together received 1.6k indexed citations. Recurring topics across this work include Sarcoma Diagnosis and Treatment (6 papers), Prostate Cancer Treatment and Research (5 papers), Molecular Biology Techniques and Applications (3 papers), Cancer-related gene regulation (3 papers), Cancer, Lipids, and Metabolism (2 papers), Cell Adhesion Molecules Research (2 papers), Prostate Cancer Diagnosis and Treatment (2 papers) and Cancer Genomics and Diagnostics (2 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (1.1k citations), Cancer Research (296 citations), Oncology (358 citations), Rheumatology (196 citations) and Pathology and Forensic Medicine (214 citations). J Clark has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Christopher S. Cooper, Janet Shipley, Sandra Gill, B.A. Gusterson, Cyril Fisher, A. Jayne Crew, Ashis K. Chand, R. J. Grimer, Christopher S. Foster and Gyula Kovács. Their work appears in journals such as British Journal of Cancer, Oncogene, Journal of Clinical Pathology, The EMBO Journal and Journal of The Royal Society Interface.

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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