Emmanuel Hatzakis

21 total papers · 547 total citations
12 papers, 436 citations indexed

About

Emmanuel Hatzakis is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Condensed Matter Physics. According to data from OpenAlex, Emmanuel Hatzakis has authored 12 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Pathology and Forensic Medicine and 2 papers in Condensed Matter Physics. Recurrent topics in Emmanuel Hatzakis's work include Protein Hydrolysis and Bioactive Peptides (2 papers), Advanced Thermodynamics and Statistical Mechanics (2 papers) and Plant biochemistry and biosynthesis (2 papers). Emmanuel Hatzakis is often cited by papers focused on Protein Hydrolysis and Bioactive Peptides (2 papers), Advanced Thermodynamics and Statistical Mechanics (2 papers) and Plant biochemistry and biosynthesis (2 papers). Emmanuel Hatzakis collaborates with scholars based in United States, China and Greece. Emmanuel Hatzakis's co-authors include Danzhou Yang, Philip B. Smith, Limin Zhang, Andrew D. Patterson, Costas D. Maranas, Robert G. Nichols, Siu Hung Joshua Chan, Ruixin Hao, Cen Xie and Margaret Simons and has published in prestigious journals such as Angewandte Chemie International Edition, Biochemistry and Molecules.

In The Last Decade

Emmanuel Hatzakis

11 papers receiving 435 citations

Author Peers

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

Author Last Decade Papers Cites
Emmanuel Hatzakis 268 81 46 44 41 12 436
Volker Thiemann 158 0.6× 30 0.4× 22 0.5× 53 1.2× 39 1.0× 9 371
Anna G. Burrichter 260 1.0× 50 0.6× 16 0.3× 36 0.8× 20 0.5× 8 412
Sonja M. Koning 273 1.0× 34 0.4× 12 0.3× 6 0.1× 62 1.5× 8 454
Jonathan Erde 270 1.0× 12 0.1× 11 0.2× 33 0.8× 23 0.6× 12 495
Laura L. Grochowski 348 1.3× 23 0.3× 19 0.4× 10 0.2× 13 0.3× 16 447
Marvin Schulman 245 0.9× 14 0.2× 11 0.2× 6 0.1× 26 0.6× 16 407
Paul De Vos 131 0.5× 15 0.2× 17 0.4× 39 0.9× 53 1.3× 14 449
James T. Vail 97 0.4× 42 0.5× 19 0.4× 9 0.2× 21 0.5× 10 435
Connor Morgan‐Lang 260 1.0× 112 1.4× 6 0.1× 14 0.3× 44 1.1× 19 476
Anthony R. Cook 163 0.6× 18 0.2× 4 0.1× 72 1.6× 21 0.5× 19 412

Countries citing papers authored by Emmanuel Hatzakis

Since Specialization
Citations

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

Fields of papers citing papers by Emmanuel Hatzakis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emmanuel Hatzakis

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