F.-Javier Gella

1.7k citations
46 papers · 1.4k indexed · h-index 16

Impact in

Papers in

F.-Javier Gella

46 papers receiving 1.4k citations

Peers

F.-Javier Gella
Comparison fields: 5 of 125
  • Clinical Biochemistry 107
  • Pharmacology 137
  • Statistics, Probability and Uncertainty 87
  • Endocrinology, Diabetes and Metabolism 189
  • Physiology 294
Replace G Férard with:
G Férard France
Rainer Klauke Germany
R Bonora Italy
Paul Franck Netherlands
C. A. Ferrero Italy
C A Burtis United States
F Schiele France
N. Kristiansen Germany
Wieland Hoelzel Germany
N W Tietz United States
F.-Javier Gella relative to G Férard France G Férard's profile →
Citations per field
00.5×1.6×
G Férard · 1×
Citations per year

Countries citing papers authored by F.-Javier Gella

Since Specialization
Citations

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

Fields of papers citing papers by F.-Javier Gella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by F.-Javier Gella. 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 F.-Javier Gella. The network helps show where F.-Javier Gella may publish in the future.

Co-authors

The 25 scholars most cited alongside F.-Javier Gella, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with F.-Javier Gella Line = papers co-authored together F.-Javier Gella links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2011101
2 20066
3 200247
4 2002120
5 200297
6 200279
7 20013
8 200110
9 20008
10 19998
11 19987
12 19981
13 19982
14 199621
15 19951
16 19925
17 19901
18 19902
19 19883
20 19881

About F.-Javier Gella

F.-Javier Gella is a scholar working on Clinical Biochemistry, Bioengineering, Statistics, Probability and Uncertainty, Physiology and Rheumatology, having authored 46 papers that have together received 1.4k indexed citations. Recurring topics across this work include Clinical Laboratory Practices and Quality Control (9 papers), Pesticide Residue Analysis and Safety (7 papers), Analytical Chemistry and Chromatography (6 papers), Glycosylation and Glycoproteins Research (5 papers), Metabolism and Genetic Disorders (5 papers), Glycogen Storage Diseases and Myoclonus (5 papers), Scientific Measurement and Uncertainty Evaluation (4 papers) and Protein Kinase Regulation and GTPase Signaling (4 papers). The work is most often cited by research in Clinical Biochemistry (107 citations), Pharmacology (137 citations), Statistics, Probability and Uncertainty (87 citations), Endocrinology, Diabetes and Metabolism (189 citations) and Physiology (294 citations). F.-Javier Gella has collaborated with scholars based in Spain, Germany and France. Frequent co-authors include Ferruccio Ceriotti, Poul J. Jørgensen, Paul Franck, Rainer Klauke, Francesca Canalías, G. Schumann, G Férard, Mauro Panteghini, C. A. Ferrero and Takashi Kanno. Their work appears in journals such as Clinical Chemistry and Laboratory Medicine (CCLM), Clinica Chimica Acta, Clinical Chemistry, Pure and Applied Chemistry and Analytical Biochemistry.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026