L Garby

2.4k total citations
77 papers, 1.8k citations indexed

About

L Garby is a scholar working on Physiology, Cell Biology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, L Garby has authored 77 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Physiology, 19 papers in Cell Biology and 11 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in L Garby's work include Erythrocyte Function and Pathophysiology (18 papers), Hemoglobin structure and function (15 papers) and Neonatal Health and Biochemistry (10 papers). L Garby is often cited by papers focused on Erythrocyte Function and Pathophysiology (18 papers), Hemoglobin structure and function (15 papers) and Neonatal Health and Biochemistry (10 papers). L Garby collaborates with scholars based in Denmark, Sweden and United States. L Garby's co-authors include Arne Astrup, C.‐H. de Verdier, O Lammert, Claes F. Högman, J. -C. Vuille, Leif Hallberg, B. Zaar, Olof Åkerblom, M. Hjelm and Edmund Christiansen and has published in prestigious journals such as American Journal of Clinical Nutrition, Journal of Applied Physiology and European Journal of Biochemistry.

In The Last Decade

L Garby

74 papers receiving 1.7k citations

Peers

L Garby
Comparison fields: 5 of 144
  • Physiology 725
  • Cell Biology 413
  • Pediatrics, Perinatology and Child Health 294
  • Hematology 282
  • Genetics 220
Replace Helmut Martin with:
Helmut Martin Germany
A Corsi Italy
D. W. Neill United Kingdom
Christine Baylis United States
Nachum Vaisman Israel
Marco Zaffanello Italy
Donough OʼBrien United States
Leslie W. Abad United States
F Quaade Denmark
Ingrid Frey Germany
Helmut Martin Germany View profile →
Citations per field, relative to L Garby
L Garby · 1×
Citations per year, relative to L Garby
L Garby · 1×

Countries citing papers authored by L Garby

Since Specialization
Citations

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

Fields of papers citing papers by L Garby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of L Garby

This figure shows the co-authorship network connecting the top 25 collaborators of L Garby. A scholar is included among the top collaborators of L Garby 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 L Garby. L Garby 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 51
2 25
3 42
4 47
5 7
6 3
7 14
8
Between-subjects variation in energy expenditure: estimation of the effect of variation in organ size.
21
9 112
10 46
11 1
12 8
13
Recommended Method for Radioisotope Red-Cell Survival Studies
34
14 8
15 23
16 2
17 60
18 3
19 88
20 27

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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