Jorge Numata

854 citations
34 papers · 661 indexed · h-index 14

Impact in

Papers in

Jorge Numata

33 papers receiving 648 citations

Peers

Jorge Numata
Comparison fields: 5 of 90
  • Environmental Chemistry 190
  • Health, Toxicology and Mutagenesis 247
  • Physical and Theoretical Chemistry 48
  • Atmospheric Science 92
  • Molecular Biology 264
Replace Pradip K. Mookerjee with:
Pradip K. Mookerjee
Steven P. Rafferty Canada
Francesco Ghetti Spain
Peter G. Stoks Netherlands
Martine Monette Canada
Dražen Petrov Austria
Keiichiro Ishikawa Japan
Josef Růžička United States
Dorit Shemesh Israel
Anke Gelbin United States
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Citations per field
00.5×10×15×21×
Pradip K. Mookerjee · 1×
Citations per year

Countries citing papers authored by Jorge Numata

Since Specialization
Citations

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

Fields of papers citing papers by Jorge Numata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201298
2 201464
3 202063
4 200941
5 200737
6 202235
7 202033
8 200831
9
Conformational entropy of biomolecules: beyond the quasi-harmonic approximation.
200729
10 201228
11 201226
12 201824
13 201722
14 202214
15 202212
16 201812
17 202010
18 202210
19 20239
20 20229

About Jorge Numata

Jorge Numata is a scholar working on Health, Toxicology and Mutagenesis, Molecular Biology, Environmental Chemistry, Cancer Research and Atomic and Molecular Physics, and Optics, having authored 34 papers that have together received 661 indexed citations. Recurring topics across this work include Toxic Organic Pollutants Impact (18 papers), Effects and risks of endocrine disrupting chemicals (14 papers), Per- and polyfluoroalkyl substances research (6 papers), Carcinogens and Genotoxicity Assessment (6 papers), Protein Structure and Dynamics (5 papers), Spectroscopy and Quantum Chemical Studies (4 papers), Atmospheric chemistry and aerosols (4 papers) and Computational Drug Discovery Methods (3 papers). The work is most often cited by research in Environmental Chemistry (190 citations), Health, Toxicology and Mutagenesis (247 citations), Physical and Theoretical Chemistry (48 citations), Atmospheric Science (92 citations) and Molecular Biology (264 citations). Jorge Numata has collaborated with scholars based in Germany, Australia and United States. Frequent co-authors include Ernst‐Walter Knapp, Monika Lahrssen‐Wiederholt, Helmut Schafft, J. Kowalczyk, Marcel Schmidt am Busch, Frank Müh, Thomas Renger, Robert Pieper, Mark Bücking and Matthias Kotthoff. Their work appears in journals such as Journal of Agricultural and Food Chemistry, The Journal of Physical Chemistry B, Nutrition Research Reviews, Archives of Toxicology and Journal of Chemical Theory and Computation.

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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