Germana Paterlini

750 total citations · 1 hit paper
7 papers, 629 citations indexed

About

Germana Paterlini is a scholar working on Molecular Biology, Biomaterials and Spectroscopy. According to data from OpenAlex, Germana Paterlini has authored 7 papers receiving a total of 629 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Biomaterials and 2 papers in Spectroscopy. Recurrent topics in Germana Paterlini's work include Collagen: Extraction and Characterization (2 papers), Molecular Spectroscopy and Structure (2 papers) and Molecular spectroscopy and chirality (2 papers). Germana Paterlini is often cited by papers focused on Collagen: Extraction and Characterization (2 papers), Molecular Spectroscopy and Structure (2 papers) and Molecular spectroscopy and chirality (2 papers). Germana Paterlini collaborates with scholars based in United States, France and Italy. Germana Paterlini's co-authors include George Némethy, Kenneth D. Gibson, Harold A. Scheraga, Chang No Yoon, Shirley Rumsey, Adriana Zagari, Giovanna Longhi, Sergio Abbate, G. Zerbi and L. Ricard and has published in prestigious journals such as The Journal of Physical Chemistry, Journal of Medicinal Chemistry and Carbohydrate Research.

In The Last Decade

Germana Paterlini

7 papers receiving 612 citations

Hit Papers

Energy parameters in polypeptides. 10. Improved geometric... 1992 2026 2003 2014 1992 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Germana Paterlini United States 5 486 185 116 80 72 7 629
Micheal H. Zehfus United States 11 977 2.0× 376 2.0× 148 1.3× 67 0.8× 75 1.0× 18 1.2k
Shirley Rumsey United States 5 808 1.7× 238 1.3× 158 1.4× 82 1.0× 77 1.1× 5 954
Ninad V. Prabhu United States 11 565 1.2× 196 1.1× 99 0.9× 180 2.3× 46 0.6× 15 783
Daniel S. Spencer United States 6 571 1.2× 197 1.1× 87 0.8× 118 1.5× 29 0.4× 7 705
Jianyin Shao United States 5 539 1.1× 133 0.7× 69 0.6× 44 0.6× 96 1.3× 6 747
Alexandra Patriksson Sweden 7 612 1.3× 184 1.0× 304 2.6× 144 1.8× 52 0.7× 7 868
Daniel A. Karp United States 6 560 1.2× 178 1.0× 83 0.7× 122 1.5× 34 0.5× 6 686
Wilfred F. van Gunsteren Switzerland 10 844 1.7× 229 1.2× 125 1.1× 159 2.0× 93 1.3× 12 1.0k
Marc A. Ceruso Italy 12 590 1.2× 190 1.0× 56 0.5× 87 1.1× 32 0.4× 13 706
Johan Evenäs Sweden 15 891 1.8× 314 1.7× 255 2.2× 103 1.3× 39 0.5× 22 1.1k

Countries citing papers authored by Germana Paterlini

Since Specialization
Citations

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

Fields of papers citing papers by Germana Paterlini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Germana Paterlini

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

All Works

7 of 7 papers shown
1.
Paterlini, Germana, et al.. (1997). 6β-Propynyl-Substituted Steroids:  Mechanism-Based Enzyme-Activated Irreversible Inhibitors of Aromatase. Journal of Medicinal Chemistry. 40(20). 3263–3270. 5 indexed citations
2.
Némethy, George, A.K. Bakhshi, Germana Paterlini, & J. Ladik. (1995). On the level distribution of periodic and non-periodic collagen models. Journal of Molecular Structure THEOCHEM. 337(2). 103–107. 1 indexed citations
3.
Bakhshi, A.K., Germana Paterlini, George Némethy, & J. Ladik. (1993). The investigation of the electronic structure of periodic and non-periodic collagen models. Chemical Physics. 172(2-3). 259–264. 2 indexed citations
4.
Némethy, George, Kenneth D. Gibson, Chang No Yoon, et al.. (1992). Energy parameters in polypeptides. 10. Improved geometrical parameters and nonbonded interactions for use in the ECEPP/3 algorithm, with application to proline-containing peptides. The Journal of Physical Chemistry. 96(15). 6472–6484. 575 indexed citations breakdown →
5.
Longhi, Giovanna, G. Zerbi, Germana Paterlini, L. Ricard, & Sergio Abbate. (1987). Conformational dependence of CH(CD)-strechings in D-glucose and some deuterated derivatives as revealed by infrared and raman spectroscopy. Carbohydrate Research. 161(1). 1–22. 31 indexed citations
6.
Nafié, Laurence A., et al.. (1987). Polarization modulation Fourier transform infrared spectroscopy. Microchimica Acta. 93(1-6). 93–104. 10 indexed citations
7.
Longhi, Giovanna, Germana Paterlini, Sergio Abbate, L. Ricard, & G. Zerbi. (1986). Vibrational spectroscopy of D—Glucose: the CH stretching region. Journal of Molecular Structure. 142. 403–406. 5 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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