Alejandro Panjkovich

3.7k total citations · 2 hit papers
23 papers, 2.6k citations indexed

About

Alejandro Panjkovich is a scholar working on Molecular Biology, Materials Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Alejandro Panjkovich has authored 23 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 9 papers in Materials Chemistry and 4 papers in Computational Theory and Mathematics. Recurrent topics in Alejandro Panjkovich's work include Protein Structure and Dynamics (11 papers), Enzyme Structure and Function (8 papers) and Computational Drug Discovery Methods (4 papers). Alejandro Panjkovich is often cited by papers focused on Protein Structure and Dynamics (11 papers), Enzyme Structure and Function (8 papers) and Computational Drug Discovery Methods (4 papers). Alejandro Panjkovich collaborates with scholars based in Germany, Spain and United States. Alejandro Panjkovich's co-authors include Dmitri I. Svergun, Alexey Kikhney, Petr V. Konarev, Haydyn D. T. Mertens, Nelly R. Hajizadeh, Cy M. Jeffries, Maxim V. Petoukhov, Daniel Franke, Xavier Daura and John M. Franklin and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Bioinformatics.

In The Last Decade

Alejandro Panjkovich

23 papers receiving 2.6k citations

Hit Papers

align trajectories

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.

ATSAS 2.8: a comprehensive data analysis suite for small-angle scattering from macromolecular solutions

2017 1.0k citations Daniel Franke, Maxim V. Petoukhov et al. Journal of Applied Crystallography profile →
ATSAS 3.0: expanded functionality and new tools for small-angle scattering data analysis

2020 581 citations Karen Manalastas-Cantos, Petr V. Konarev et al. Journal of Applied Crystallography profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alejandro Panjkovich Germany	16	1.9k	614	204	189	182	23	2.6k
Yifan Song China	18	2.3k 1.2×	633 1.0×	237 1.2×	130 0.7×	176 1.0×	46	3.0k
Michał J. Gajda Germany	12	2.0k 1.1×	732 1.2×	223 1.1×	116 0.6×	244 1.3×	21	2.7k
Lizbeth L. Videau United States	5	2.0k 1.1×	448 0.7×	282 1.4×	130 0.7×	190 1.0×	6	2.9k
Douglas V. Laurents Spain	29	2.4k 1.3×	783 1.3×	192 0.9×	105 0.6×	255 1.4×	111	3.0k
Maarten L. Hekkelman Netherlands	12	2.0k 1.1×	406 0.7×	375 1.8×	205 1.1×	138 0.8×	19	2.6k
Bradley J. Hintze United States	10	2.2k 1.2×	473 0.8×	308 1.5×	138 0.7×	189 1.0×	22	3.2k
L.N. Deis United States	5	2.0k 1.1×	430 0.7×	285 1.4×	125 0.7×	185 1.0×	5	2.9k
Shekhar C. Mande India	33	1.8k 1.0×	638 1.0×	205 1.0×	79 0.4×	168 0.9×	92	2.7k
L. Serrano Germany	12	2.6k 1.4×	726 1.2×	337 1.7×	163 0.9×	254 1.4×	18	3.2k
Thomas Acton United States	31	2.7k 1.5×	754 1.2×	377 1.8×	133 0.7×	195 1.1×	110	3.6k

Countries citing papers authored by Alejandro Panjkovich

Since Specialization

Citations

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

Fields of papers citing papers by Alejandro Panjkovich

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alejandro Panjkovich

This figure shows the co-authorship network connecting the top 25 collaborators of Alejandro Panjkovich. A scholar is included among the top collaborators of Alejandro Panjkovich 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 Alejandro Panjkovich. Alejandro Panjkovich 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

Fernandes, Henrique S., Jayaraman Muthukumaran, Alejandro Panjkovich, et al.. (2024). Structural insights of an LCP protein–LytR–from Streptococcus dysgalactiae subs. dysgalactiae through biophysical and in silico methods. Frontiers in Chemistry. 12. 1379914–1379914. 4 indexed citations

Carrancio, Soraya, Celia Fontanillo, Ryan Galasso, et al.. (2022). Abstract 3932: Pathway interaction and mechanistic synergy of CC-99282, a novel cereblon E3 ligase modulator (CELMoD) agent, with enhancer of zeste homolog 2 inhibitors (EZH2is). Cancer Research. 82(12_Supplement). 3932–3932. 2 indexed citations

Manalastas-Cantos, Karen, Petr V. Konarev, Nelly R. Hajizadeh, et al.. (2020). ATSAS 3.0: expanded functionality and new tools for small-angle scattering data analysis. Journal of Applied Crystallography. 54(1). 343–355. 581 indexed citations breakdown →

Duarte, Daniel, Allan Joaquim Lamontanara, Giuseppina La Sala, et al.. (2020). Btk SH2-kinase interface is critical for allosteric kinase activation and its targeting inhibits B-cell neoplasms. Nature Communications. 11(1). 2319–2319. 22 indexed citations

Muthukumaran, Jayaraman, et al.. (2019). Shedding Light on the Interaction of Human Anti-Apoptotic Bcl-2 Protein with Ligands through Biophysical and in Silico Studies. International Journal of Molecular Sciences. 20(4). 860–860. 28 indexed citations

Otrelo-Cardoso, Ana Rita, Rashmi Ravindran Nair, M.A.S. Correia, et al.. (2017). Highly selective tungstate transporter protein TupA from Desulfovibrio alaskensis G20. Scientific Reports. 7(1). 5798–5798. 10 indexed citations

Franke, Daniel, Maxim V. Petoukhov, Petr V. Konarev, et al.. (2017). ATSAS 2.8: a comprehensive data analysis suite for small-angle scattering from macromolecular solutions. Journal of Applied Crystallography. 50(4). 1212–1225. 1037 indexed citations breakdown →

Reckel, Sina, Charlotte Gehin, Sandrine Georgeon, et al.. (2017). Structural and functional dissection of the DH and PH domains of oncogenic Bcr-Abl tyrosine kinase. Nature Communications. 8(1). 2101–2101. 38 indexed citations

Panjkovich, Alejandro & Dmitri I. Svergun. (2017). CHROMIXS: automatic and interactive analysis of chromatography-coupled small-angle X-ray scattering data. Bioinformatics. 34(11). 1944–1946. 194 indexed citations

10.

Panjkovich, Alejandro, Isidre Gibert, & Xavier Daura. (2014). antibacTR: dynamic antibacterial-drug-target ranking integrating comparative genomics, structural analysis and experimental annotation. BMC Genomics. 15(1). 36–36. 6 indexed citations

11.

Panjkovich, Alejandro & Xavier Daura. (2014). PARS: a web server for the prediction of Protein Allosteric and Regulatory Sites. Bioinformatics. 30(9). 1314–1315. 105 indexed citations

12.

Palacios‐Prado, Nicolás, et al.. (2014). Molecular determinants of magnesium-dependent synaptic plasticity at electrical synapses formed by connexin36. Nature Communications. 5(1). 4667–4667. 44 indexed citations

13.

Panjkovich, Alejandro & Xavier Daura. (2012). Exploiting protein flexibility to predict the location of allosteric sites. BMC Bioinformatics. 13(1). 273–273. 67 indexed citations

14.

Stein, Amelie, Manuel Rueda, Alejandro Panjkovich, Modesto Orozco, & Patrick Aloy. (2011). A Systematic Study of the Energetics Involved in Structural Changes upon Association and Connectivity in Protein Interaction Networks. Structure. 19(6). 881–889. 40 indexed citations

15.

Panjkovich, Alejandro & Patrick Aloy. (2010). Predicting protein–protein interaction specificity through the integration of three-dimensional structural information and the evolutionary record of protein domains. Molecular BioSystems. 6(4). 741–749. 7 indexed citations

16.

Panjkovich, Alejandro & Xavier Daura. (2010). Assessing the structural conservation of protein pockets to study functional and allosteric sites: implications for drug discovery. BMC Structural Biology. 10(1). 9–9. 32 indexed citations

17.

Panjkovich, Alejandro, Francisco Melo, & Marc A. Martı́-Renom. (2008). Evolutionary potentials: structure specific knowledge-based potentials exploiting the evolutionary record of sequence homologs. Genome biology. 9(4). R68–R68. 7 indexed citations

18.

Stein, Amelie, Alejandro Panjkovich, & Patrick Aloy. (2008). 3did Update: domain-domain and peptide-mediated interactions of known 3D structure. Nucleic Acids Research. 37(Database). D300–D304. 56 indexed citations

19.

Panjkovich, Alejandro, Tomás Norambuena, & Francisco Melo. (2005). dnaMATE: a consensus melting temperature prediction server for short DNA sequences. Nucleic Acids Research. 33(Web Server). W570–W572. 19 indexed citations

20.

Panjkovich, Alejandro & Francisco Melo. (2004). Comparison of different melting temperature calculation methods for short DNA sequences. Bioinformatics. 21(6). 711–722. 79 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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