U. Wanderlingh

94 total papers · 1.6k total citations
74 papers, 1.3k citations indexed

About

U. Wanderlingh is a scholar working on Atomic and Molecular Physics, and Optics, Molecular Biology and Materials Chemistry. According to data from OpenAlex, U. Wanderlingh has authored 74 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Atomic and Molecular Physics, and Optics, 34 papers in Molecular Biology and 29 papers in Materials Chemistry. Recurrent topics in U. Wanderlingh's work include Spectroscopy and Quantum Chemical Studies (32 papers), Protein Structure and Dynamics (27 papers) and Lipid Membrane Structure and Behavior (16 papers). U. Wanderlingh is often cited by papers focused on Spectroscopy and Quantum Chemical Studies (32 papers), Protein Structure and Dynamics (27 papers) and Lipid Membrane Structure and Behavior (16 papers). U. Wanderlingh collaborates with scholars based in Italy, France and United Kingdom. U. Wanderlingh's co-authors include Giovanna D’Angelo, C. Branca, C. Crupi, S. Rifici, Carmelo Corsaro, Giovanna Ruello, R. Giordano, Valeria Conti Nibali, Domenico Majolino and Vincenza Crupi and has published in prestigious journals such as The Journal of Chemical Physics, SHILAP Revista de lepidopterología and The Journal of Physical Chemistry B.

In The Last Decade

U. Wanderlingh

72 papers receiving 1.3k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
U. Wanderlingh	452	377	352	283	219	74	1.3k
Artem Feoktystov	475 1.1×	337 0.9×	211 0.6×	442 1.6×	191 0.9×	72	1.6k
Federica Ciuchi	451 1.0×	288 0.8×	293 0.8×	251 0.9×	133 0.6×	82	1.5k
Shunli Chen	417 0.9×	378 1.0×	268 0.8×	246 0.9×	301 1.4×	100	1.6k
Adam A. Skelton	368 0.8×	238 0.6×	255 0.7×	263 0.9×	264 1.2×	59	1.5k
Vitaly Kocherbitov	335 0.7×	131 0.3×	310 0.9×	261 0.9×	197 0.9×	82	1.5k
Daniel M. Kamiński	315 0.7×	221 0.6×	259 0.7×	144 0.5×	206 0.9×	87	1.5k
Patricia Losada‐Pérez	469 1.0×	275 0.7×	405 1.2×	594 2.1×	95 0.4×	84	1.6k
Chin W. Yong	499 1.1×	240 0.6×	212 0.6×	201 0.7×	80 0.4×	42	1.2k
Paulo A. Netz	820 1.8×	276 0.7×	374 1.1×	577 2.0×	112 0.5×	71	1.8k
Chi‐cheng Chiu	398 0.9×	285 0.8×	643 1.8×	176 0.6×	166 0.8×	59	1.6k

Countries citing papers authored by U. Wanderlingh

Since Specialization

Citations

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

Fields of papers citing papers by U. Wanderlingh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of U. Wanderlingh

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

All Works

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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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