Daniel Fernández

3.4k total citations
69 papers, 1.6k citations indexed

About

Daniel Fernández is a scholar working on Molecular Biology, Oncology and Organic Chemistry. According to data from OpenAlex, Daniel Fernández has authored 69 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 26 papers in Oncology and 21 papers in Organic Chemistry. Recurrent topics in Daniel Fernández's work include Peptidase Inhibition and Analysis (18 papers), Crystal structures of chemical compounds (10 papers) and Signaling Pathways in Disease (8 papers). Daniel Fernández is often cited by papers focused on Peptidase Inhibition and Analysis (18 papers), Crystal structures of chemical compounds (10 papers) and Signaling Pathways in Disease (8 papers). Daniel Fernández collaborates with scholars based in Argentina, United States and Spain. Daniel Fernández's co-authors include Paul Müller, Lelia E. Dicelio, Josefina Awruch, Josep Vendrell, Daniel Vega, Francesc Avilés, Jean‐Claude Rossier, Irantzu Pallarès, Javier Ellena and A.E. Goeta and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Daniel Fernández

65 papers receiving 1.6k citations

Peers

Daniel Fernández
Comparison fields: 5 of 111
  • Molecular Biology 584
  • Organic Chemistry 401
  • Materials Chemistry 325
  • Oncology 287
  • Immunology 262
Replace Hiroyuki Kojima with:
Hiroyuki Kojima Japan
Dietmar G. Schmid Germany
Adam Opolski Poland
Zheng Liu China
Krishnan Rathinasamy India
Szilvia Bősze Hungary
José M. Pérez Spain
Xiaorui Li China
Shoufa Han China
Hiroyuki Kojima Japan View profile →
Citations per field, relative to Daniel Fernández
Daniel Fernández · 1×
Citations per year, relative to Daniel Fernández
Daniel Fernández · 1×

Countries citing papers authored by Daniel Fernández

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Fernández

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Fernández

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Fernández. A scholar is included among the top collaborators of Daniel Fernández 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 Daniel Fernández. Daniel Fernández 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
# Work Indexed citations
1 1
2 0
3 27
4 0
5 6
6 72
7 8
8 16
9 40
10 118
11 5
12 80
13 8
14 76
15 56
16 116
17
Isolation and biochemical characterization of Pasteurella multocida and Gallibacterium anatis strains in poultry with respiratory signs.
2
18 23
19 14
20
Testes de vigor para predizer a emergência de sorgo
2

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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