William Jacot

409 total citations
9 papers, 315 citations indexed

About

William Jacot is a scholar working on Molecular Biology, Neurology and Oncology. According to data from OpenAlex, William Jacot has authored 9 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Neurology and 3 papers in Oncology. Recurrent topics in William Jacot's work include Myasthenia Gravis and Thymoma (3 papers), Advanced Proteomics Techniques and Applications (3 papers) and Machine Learning in Bioinformatics (2 papers). William Jacot is often cited by papers focused on Myasthenia Gravis and Thymoma (3 papers), Advanced Proteomics Techniques and Applications (3 papers) and Machine Learning in Bioinformatics (2 papers). William Jacot collaborates with scholars based in France. William Jacot's co-authors include Sandy Lacombe, Delphine Bertrand, Benoît Colinet, Daurès Jp, Jean-Louis Pujol, J.P. Daurès, Xavier Quantin, Nicolas Molinari, Alain Mangé and Thierry Maudelondé and has published in prestigious journals such as British Journal of Cancer, Annals of Oncology and Journal of Thoracic Oncology.

In The Last Decade

William Jacot

8 papers receiving 308 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
William Jacot France	6	182	146	66	30	28	9	315
Nilüfer Avcı Türkiye	13	107 0.6×	227 1.6×	44 0.7×	46 1.5×	64 2.3×	39	438
Sujay Srinivas India	9	80 0.4×	122 0.8×	45 0.7×	58 1.9×	27 1.0×	36	251
Jeffrey T. Yorio United States	8	136 0.7×	193 1.3×	34 0.5×	70 2.3×	30 1.1×	22	323
Romain Rivoirard France	11	92 0.5×	125 0.9×	22 0.3×	51 1.7×	49 1.8×	53	307
Benoît Colinet Belgium	9	315 1.7×	193 1.3×	50 0.8×	68 2.3×	70 2.5×	22	512
John Conibear United Kingdom	10	135 0.7×	107 0.7×	29 0.4×	29 1.0×	40 1.4×	28	313
M. Hochstenbag Netherlands	10	429 2.4×	284 1.9×	109 1.7×	45 1.5×	22 0.8×	27	552
P. P. A. Razenberg Netherlands	5	270 1.5×	210 1.4×	65 1.0×	54 1.8×	41 1.5×	7	463
Narayan Rajan United States	10	228 1.3×	234 1.6×	42 0.6×	75 2.5×	16 0.6×	21	422
Franck Rouby France	10	88 0.5×	216 1.5×	52 0.8×	29 1.0×	28 1.0×	18	368

Countries citing papers authored by William Jacot

Since Specialization

Citations

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

Fields of papers citing papers by William Jacot

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William Jacot

This figure shows the co-authorship network connecting the top 25 collaborators of William Jacot. A scholar is included among the top collaborators of William Jacot based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with William Jacot. William Jacot is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

1.

Jacot, William, Jean-Louis Pujol, Olivier Molinier, et al.. (2011). Epirubicin and ifosfamide in relapsed or refractory small cell lung cancer patients. Lung Cancer. 75(2). 213–216. 8 indexed citations

2.

Jacot, William, Benoît Colinet, Delphine Bertrand, et al.. (2008). Quality of life and comorbidity score as prognostic determinants in non-small-cell lung cancer patients. Annals of Oncology. 19(8). 1458–1464. 83 indexed citations

3.

Jacot, William, Jean-Louis Pujol, Nicolas Molinari, et al.. (2008). Serum Proteomic Profiling of Lung Cancer in High-Risk Groups and Determination of Clinical Outcomes. Journal of Thoracic Oncology. 3(8). 840–850. 20 indexed citations

4.

Mangé, Alain, Jérôme Solassol, William Jacot, et al.. (2007). Comparison of Supervised Classification Methods for Protein Profiling in Cancer Diagnosis. Cancer Informatics. 3. 2816855308–2816855308. 6 indexed citations

5.

Mangé, Alain, Jérôme Solassol, William Jacot, et al.. (2007). Comparison of supervised classification methods for protein profiling in cancer diagnosis.. PubMed. 3. 295–305. 5 indexed citations

6.

Jacot, William, Xavier Quantin, & Jean-Louis Pujol. (2006). Traitement des tumeurs épithéliales thymiques. Revue des Maladies Respiratoires. 23(1). 3S35–3S46. 3 indexed citations

7.

Jacot, William, et al.. (2006). [Treatment of epithelial thymic tumours: towards a multidisciplinary management].. PubMed. 23(1 Suppl). 3S35–46.

8.

Colinet, Benoît, et al.. (2005). A new simplified comorbidity score as a prognostic factor in non-small-cell lung cancer patients: description and comparison with the Charlson's index. British Journal of Cancer. 93(10). 1098–1105. 168 indexed citations

9.

Jacot, William, et al.. (2005). Multimodality Treatment Program in Invasive Thymic Epithelial Tumor. American Journal of Clinical Oncology. 28(1). 5–7. 22 indexed citations

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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