G. Szakács

2.2k citations
52 papers · 1.7k indexed · h-index 23
Topics
Biofuel production and bioconversion (28 papers)Enzyme Production and Characterization (23 papers)Microbial Metabolic Engineering and Bioproduction (9 papers)

In The Last Decade

G. Szakács

52 papers receiving 1.5k citations

Peers

G. Szakács
Comparison fields: 5 of 93
  • Molecular Biology 662
  • Biotechnology 619
  • Biomedical Engineering 562
  • Plant Science 461
  • Agronomy and Crop Science 262
Replace Kavish Kumar Jain with:
Kavish Kumar Jain India
B. J. Macris Greece
Xiaoyun Su China
Edivaldo Ximenes Ferreira Filho Brazil
Luísa B. Roseiro Portugal
Raj Kumar Salar India
Mahalingeshwara K. Bhat United Kingdom
Shweta Sharma India
Severino Zara Italy
Suman Kumar Halder India
G. Szakács relative to Kavish Kumar Jain India Kavish Kumar Jain's profile →
Citations per field
00.5×6.4×
Kavish Kumar Jain · 1×
Citations per year

Countries citing papers authored by G. Szakács

Since Specialization
Citations

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

Fields of papers citing papers by G. Szakács

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Szakács

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 10
2 16
3 17
4 7
5 12
6 54
7 15
8 36
9 45
10 134
11 19
12 77
13 26
14 82
15 21
16 62
17
Solid state enzymes for agrobiotechnology.
6
18 5
19 46
20 7

About G. Szakács

G. Szakács is a scholar working on Biotechnology, Biomedical Engineering and Biomaterials, having authored 52 papers that have together received 1.7k indexed citations. Recurring topics across this work include Biofuel production and bioconversion (28 papers), Enzyme Production and Characterization (23 papers) and Microbial Metabolic Engineering and Bioproduction (9 papers). The work is most often cited by research in Biotechnology (619 citations), Applied Microbiology and Biotechnology (78 citations) and Agronomy and Crop Science (262 citations). G. Szakács has collaborated with scholars based in Hungary, United States and India. Frequent co-authors include Robert P. Tengerdy, Ashok Pandey, Emı́lia Csiszár, Y. Hen, G. Ashbell, Z.G. Weinberg, Sabu Abdulhameed, James C. Linden, György Morovján and L. P. Christov. Their work appears in journals such as Bioresource Technology, Journal of Chromatography A and Applied Microbiology and Biotechnology.

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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