Nicolas Tang

786 total citations · 1 hit paper
8 papers, 525 citations indexed

About

Nicolas Tang is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Cancer Research. According to data from OpenAlex, Nicolas Tang has authored 8 papers receiving a total of 525 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pulmonary and Respiratory Medicine, 4 papers in Molecular Biology and 3 papers in Cancer Research. Recurrent topics in Nicolas Tang's work include Radiation Therapy and Dosimetry (7 papers), DNA Repair Mechanisms (3 papers) and Carcinogens and Genotoxicity Assessment (3 papers). Nicolas Tang is often cited by papers focused on Radiation Therapy and Dosimetry (7 papers), DNA Repair Mechanisms (3 papers) and Carcinogens and Genotoxicity Assessment (3 papers). Nicolas Tang collaborates with scholars based in France, Australia and Lebanon. Nicolas Tang's co-authors include C. Villagrasa, S. Incerti, Sylvain Meylan, M. Karamitros, M. Bueno, Hoang Ngoc Tran, Mario A. Bernal, Ioanna Kyriakou, Wook‐Geun Shin and Marie‐Claude Bordage and has published in prestigious journals such as Scientific Reports, International Journal of Molecular Sciences and Medical Physics.

In The Last Decade

Nicolas Tang

8 papers receiving 517 citations

Hit Papers

Geant4‐DNA example applications for track structure simul... 2018 2026 2020 2023 2018 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nicolas Tang France 8 443 216 160 122 88 8 525
G. Baiocco Italy 14 406 0.9× 205 0.9× 166 1.0× 186 1.5× 67 0.8× 56 635
A. Ivanchenko United States 3 350 0.8× 200 0.9× 84 0.5× 75 0.6× 90 1.0× 3 420
Thiansin Liamsuwan Sweden 12 418 0.9× 271 1.3× 116 0.7× 121 1.0× 97 1.1× 32 622
E. Schmitt Germany 7 286 0.6× 133 0.6× 100 0.6× 95 0.8× 63 0.7× 12 328
Shogo Okada Japan 11 336 0.8× 237 1.1× 74 0.5× 83 0.7× 62 0.7× 17 449
V. A. Semenenko United States 7 414 0.9× 280 1.3× 160 1.0× 240 2.0× 53 0.6× 8 582
Nina Tilly Sweden 15 443 1.0× 430 2.0× 95 0.6× 244 2.0× 87 1.0× 31 628
S. Shchemelinin Israel 12 304 0.7× 208 1.0× 89 0.6× 44 0.4× 104 1.2× 31 460
C. Zacharatou France 6 808 1.8× 548 2.5× 163 1.0× 268 2.2× 180 2.0× 9 994
S. Pszona Poland 13 350 0.8× 242 1.1× 56 0.3× 63 0.5× 80 0.9× 41 458

Countries citing papers authored by Nicolas Tang

Since Specialization
Citations

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

Fields of papers citing papers by Nicolas Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicolas Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Nicolas Tang. A scholar is included among the top collaborators of Nicolas Tang 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 Nicolas Tang. Nicolas Tang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Tang, Nicolas, Hoang Ngoc Tran, Aurélie Vaurijoux, et al.. (2022). Nanodosimetric Calculations of Radiation-Induced DNA Damage in a New Nucleus Geometrical Model Based on the Isochore Theory. International Journal of Molecular Sciences. 23(7). 3770–3770. 9 indexed citations
2.
Tang, Nicolas, M. Bueno, Sylvain Meylan, et al.. (2019). Assessment of Radio-Induced Damage in Endothelial Cells Irradiated with 40 kVp, 220 kVp, and 4 MV X-rays by Means of Micro and Nanodosimetric Calculations. International Journal of Molecular Sciences. 20(24). 6204–6204. 31 indexed citations
3.
Tang, Nicolas, M. Bueno, Sylvain Meylan, et al.. (2019). Influence of chromatin compaction on simulated early radiation‐induced DNA damage using Geant4‐DNA. Medical Physics. 46(3). 1501–1511. 43 indexed citations
4.
Villagrasa, C., Sylvain Meylan, M. Bueno, et al.. (2019). From Energy Deposition of Ionizing Radiation to Cell Damage Signaling: Benchmarking Simulations by Measured Yields of Initial DNA Damage after Ion Microbeam Irradiation. Radiation Research. 191(6). 566–566. 9 indexed citations
5.
Santos, Morgane Dos, Nicolas Tang, C. Villagrasa, et al.. (2018). Relation between DNA double-strand breaks and energy spectra of secondary electrons produced by different X-ray energies. International Journal of Radiation Biology. 94(12). 1075–1084. 14 indexed citations
6.
Incerti, S., Ioanna Kyriakou, Mario A. Bernal, et al.. (2018). Geant4‐DNA example applications for track structure simulations in liquid water: A report from the Geant4‐DNA Project. Medical Physics. 45(8). 305 indexed citations breakdown →
7.
Tang, Nicolas, M. Bueno, Sylvain Meylan, et al.. (2018). SIMULATION OF EARLY RADIATION-INDUCED DNA DAMAGE ON DIFFERENT TYPES OF CELL NUCLEI. Radiation Protection Dosimetry. 183(1-2). 26–31. 9 indexed citations
8.
Meylan, Sylvain, S. Incerti, M. Karamitros, et al.. (2017). Simulation of early DNA damage after the irradiation of a fibroblast cell nucleus using Geant4-DNA. Scientific Reports. 7(1). 11923–11923. 105 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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