Paul Coninx

836 citations
37 papers · 724 · h-index 11

Impact in

Papers in

Paul Coninx

35 papers receiving 676 citations

Peers

Paul Coninx
Comparison fields: 5 of 88
  • Biotechnology 354
  • Otorhinolaryngology 61
  • Physiology 42
  • Immunology 115
  • Oncology 131
Replace Kwan-Hwa Chi with:
Kwan-Hwa Chi Taiwan
Chia‐Jung Liao Taiwan
Zhiyi Liu United States
Adile Orhan Denmark
Martina Reberšek Slovenia
Sharada Sawant India
Xingchen Ding China
Raghava N. Sriramaneni United States
Shiyu Li China
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Citations per field
00.5×2×4×5.8×
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Citations per year

Countries citing papers authored by Paul Coninx

Since Specialization
Citations

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

Fields of papers citing papers by Paul Coninx

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998396
2 198879
3 196822
4 199122
5 199618
6 200418
7 199017
8 198316
9 200014
10 200311
11
Contribution of quantitative cytology to the cytological diagnosis of thyroid neoplasms.
198911
12
Can chromatin texture predict structural karyotypic changes in diploid cells from thyroid cold nodules?
199211
13 19939
14 19979
15 19888
16 19928
17
Thyroid neoplasms. Can we do any better with quantitative cytology?
19927
18
Puzzles in the clinical pharmacokinetics of fluorouracil.
19996
19 19906
20 20055

About Paul Coninx

Paul Coninx is a scholar working on Otorhinolaryngology, Oncology, Pulmonary and Respiratory Medicine, Endocrinology, Diabetes and Metabolism and Cancer Research, having authored 37 papers that have together received 724 indexed citations. Recurring topics across this work include Head and Neck Cancer Studies (9 papers), Cancer Treatment and Pharmacology (4 papers), Neuroendocrine Tumor Research Advances (4 papers), Cancer Genomics and Diagnostics (3 papers), Lung Cancer Research Studies (3 papers), Thyroid Cancer Diagnosis and Treatment (3 papers), DNA Repair Mechanisms (3 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (3 papers). The work is most often cited by research in Biotechnology (354 citations), Otorhinolaryngology (61 citations), Physiology (42 citations), Immunology (115 citations) and Oncology (131 citations). Paul Coninx has collaborated with scholars based in France, Belgium and United Kingdom. Frequent co-authors include Michel Legros, Christian Domenge, Gregor Sersa, Damijan Miklavčič, J.M. Bachaud, Ronald C. DeConti, Marie‐Pierre Rols, Z Rudolf, Reintgen Ds and LM Mir. Their work appears in journals such as Oncology Reports, International Journal of Radiation Oncology*Biology*Physics, JNCI Journal of the National Cancer Institute, European Journal of Cancer and Clinical Biochemistry.

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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