Alberto Gobbi

11.0k total citations · 3 hit papers
128 papers, 8.9k citations indexed

About

Alberto Gobbi is a scholar working on Nuclear and High Energy Physics, Molecular Biology and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Alberto Gobbi has authored 128 papers receiving a total of 8.9k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Nuclear and High Energy Physics, 40 papers in Molecular Biology and 21 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Alberto Gobbi's work include Nuclear physics research studies (43 papers), Computational Drug Discovery Methods (14 papers) and Astronomical and nuclear sciences (13 papers). Alberto Gobbi is often cited by papers focused on Nuclear physics research studies (43 papers), Computational Drug Discovery Methods (14 papers) and Astronomical and nuclear sciences (13 papers). Alberto Gobbi collaborates with scholars based in Italy, Germany and United States. Alberto Gobbi's co-authors include Gernot Frenking, Andreas W. Ehlers, Achim Veldkamp, Ralf Stegmann, Stefan Dapprich, Klaus Köhler, Volker Jonas, Francesco Bertolini, Silvia Monestiroli and Patrizia Mancuso and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Alberto Gobbi

128 papers receiving 8.6k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A set of f-polarization functions for pseudo-potential basis sets of the transition metals ScCu, YAg and LaAu

1993 2.0k citations Alberto Gobbi et al. profile →
A set of d-polarization functions for pseudo-potential basis sets of the main group elements AlBi and f-type polarization functions for Zn, Cd, Hg

1993 898 citations Alberto Gobbi et al. profile →
Systematics of complex fragment emission in niobium-induced reactions

1988 447 citations Alberto Gobbi, K. D. Hildenbrand et al. Nuclear Physics A profile →

Author Peers

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

Author						Papers	Cites
Alberto Gobbi	2.5k	2.2k	2.1k	1.7k	1.5k	128	8.9k
John L. Wood	3.6k 1.4×	3.5k 1.6×	2.5k 1.2×	492 0.3×	516 0.4×	329	11.2k
Antoni Riéra	5.7k 2.3×	3.2k 1.4×	364 0.2×	2.3k 1.4×	2.4k 1.7×	479	13.5k
Zoltán Kovács	389 0.2×	1.3k 0.6×	419 0.2×	582 0.3×	702 0.5×	205	6.5k
Takehiko Wada	2.7k 1.1×	1.7k 0.8×	535 0.3×	246 0.1×	233 0.2×	448	9.5k
Gerhard Wagner	738 0.3×	1.2k 0.6×	2.3k 1.1×	86 0.1×	460 0.3×	188	5.4k
William D. Phillips	1.0k 0.4×	1.4k 0.6×	450 0.2×	277 0.2×	701 0.5×	250	18.0k
Richard A. Ward	1.3k 0.5×	1.9k 0.8×	521 0.2×	544 0.3×	93 0.1×	150	5.5k
Yoshihito Tanaka	508 0.2×	949 0.4×	254 0.1×	579 0.3×	184 0.1×	244	5.2k
M. Yokoyama	3.1k 1.2×	2.6k 1.2×	2.1k 1.0×	595 0.4×	42 0.0×	279	10.7k
William N. Lipscomb	5.7k 2.3×	8.5k 3.8×	164 0.1×	3.6k 2.2×	4.1k 2.8×	518	26.7k

Countries citing papers authored by Alberto Gobbi

Since Specialization

Citations

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

Fields of papers citing papers by Alberto Gobbi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alberto Gobbi

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

All Works

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20 of 20 papers shown

Lee, Man‐Ling, Sherif S. Farag, Charlene Bashore, et al.. (2023). Identification of Macrocyclic Peptide Families from Combinatorial Libraries Containing Noncanonical Amino Acids Using Cheminformatics and Bioinformatics Inspired Clustering. ACS Chemical Biology. 18(6). 1425–1434. 7 indexed citations

D’Amore, Lorenzo, David F. Hahn, David Dotson, et al.. (2022). Collaborative Assessment of Molecular Geometries and Energies from the Open Force Field. Journal of Chemical Information and Modeling. 62(23). 6094–6104. 13 indexed citations

Holden, Jeffrey K., Ryan E. Pavlovicz, Alberto Gobbi, Yifan Song, & Christian N. Cunningham. (2022). Computational Site Saturation Mutagenesis of Canonical and Non-Canonical Amino Acids to Probe Protein-Peptide Interactions. Frontiers in Molecular Biosciences. 9. 848689–848689. 5 indexed citations

Lee, Man‐Ling, Ignacio Aliagas, Jianwen A. Feng, et al.. (2017). chemalot and chemalot_knime: Command line programs as workflow tools for drug discovery. Journal of Cheminformatics. 9(1). 38–38. 12 indexed citations

Fauber, Benjamin P., Olivier René, Yuzhong Deng, et al.. (2015). Discovery of 1-{4-[3-Fluoro-4-((3 S ,6 R )-3-methyl-1,1-dioxo-6-phenyl-[1,2]thiazinan-2-ylmethyl)-phenyl]-piperazin-1-yl}-ethanone (GNE-3500): a Potent, Selective, and Orally Bioavailable Retinoic Acid Receptor-Related Orphan Receptor C (RORc or RORγ) Inverse Agonist. Journal of Medicinal Chemistry. 58(13). 5308–5322. 46 indexed citations

Aliagas, Ignacio, Alberto Gobbi, Timothy P. Heffron, et al.. (2015). A probabilistic method to report predictions from a human liver microsomes stability QSAR model: a practical tool for drug discovery. Journal of Computer-Aided Molecular Design. 29(4). 327–338. 23 indexed citations

Feng, Jianwen A., Ignacio Aliagas, Philippe Bergeron, et al.. (2015). An integrated suite of modeling tools that empower scientists in structure- and property-based drug design. Journal of Computer-Aided Molecular Design. 29(6). 511–523. 14 indexed citations

Fauber, Benjamin P., Olivier René, Gladys de Leon Boenig, et al.. (2014). Reduction in lipophilicity improved the solubility, plasma–protein binding, and permeability of tertiary sulfonamide RORc inverse agonists. Bioorganic & Medicinal Chemistry Letters. 24(16). 3891–3897. 39 indexed citations

Fauber, Benjamin P., Gladys de Leon Boenig, Brenda Burton, et al.. (2013). Structure-based design of substituted hexafluoroisopropanol-arylsulfonamides as modulators of RORc. Bioorganic & Medicinal Chemistry Letters. 23(24). 6604–6609. 49 indexed citations

10.

Nicklas, Werner, et al.. (2010). FELASA guidelines for the accreditation of health monitoring programs and testing laboratories involved in health monitoring. Lab Animal. 39(2). 43–48. 12 indexed citations

11.

Marchesi, Francesco, Saverio Minucci, Pier Giuseppe Pelicci, Alberto Gobbi, & Eugenio Scanziani. (2006). Immunohistochemical Detection of Yml/Ym2 Chitinase-like Lectins Associated with Hyalinosis and Polypoid Adenomas of the Transitional Epithelium in a Mouse with Acute Myeloid Leukemia. Veterinary Pathology. 43(5). 773–776. 6 indexed citations

12.

Gobbi, Alberto, et al.. (2004). Process-Driven Information Management System at a Biotech Company: Concept and Implementation. Journal of Chemical Information and Computer Sciences. 44(3). 964–975. 11 indexed citations

13.

Bossolasco, Patrizia, Stefania Corti, Sandra Strazzer, et al.. (2004). Skeletal muscle differentiation potential of human adult bone marrow cells. Experimental Cell Research. 295(1). 66–78. 47 indexed citations

14.

Mancuso, Patrizia, Angelica Calleri, Alberto Gobbi, et al.. (2003). Circulating Endothelial Cells as a Novel Marker of Angiogenesis. Advances in experimental medicine and biology. 522. 83–97. 75 indexed citations

15.

Bertolini, Francesco, et al.. (2000). The thin red line. Experimental Hematology. 28(9). 993–1000. 74 indexed citations

16.

Minucci, Saverio, Marco Maccarana, Mario Cioce, et al.. (2000). Oligomerization of RAR and AML1 Transcription Factors as a Novel Mechanism of Oncogenic Activation. Molecular Cell. 5(5). 811–820. 243 indexed citations

17.

Gobbi, Alberto, Eugenio Scanziani, Angela Garofalo, et al.. (1997). A human acute lymphoblastic leukemia line with the T(4;11) translocation as a model of minimal residual disease in SCID mice. Leukemia Research. 21(11-12). 1107–1114. 16 indexed citations

18.

Giavazzi, Raffaella, Angela Garofalo, Teresio Motta, et al.. (1995). Establishment of human acute myelogenous leukemia lines secreting interleukin‐1β in SCID mice. International Journal of Cancer. 61(2). 280–285. 13 indexed citations

19.

Shen, W. Q., J. Albiński, Alberto Gobbi, et al.. (1987). Fission and quasifission in U-induced reactions. Physical Review C. 36(1). 115–142. 241 indexed citations

20.

Gobbi, Alberto, et al.. (1968). ELASTIC SCATTERING OF HEAVY IONS.. Nuclear Physics A. 1 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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