D. Gall

55 papers receiving 1.7k citations

Peers

D. Gall
Comparison fields: 5 of 103
  • Small Animals 1.2k
  • Endocrinology 208
  • Agronomy and Crop Science 408
  • Food Science 494
  • Epidemiology 605
Replace M. Barberán with:
M. Barberán Spain
Stephen M. Boyle United States
Vincent Weynants Belgium
Esteban Chaves‐Olarte Costa Rica
N. Sriranganathan United States
Vito G. DelVecchio United States
David T. Berman United States
Charles O. Thoen United States
Ryo Yanagawa Japan
Katri Jalava Finland
D. Gall relative to M. Barberán Spain M. Barberán's profile →
Citations per field
00.5×1.5×1.8×
M. Barberán · 1×
Citations per year

Countries citing papers authored by D. Gall

Since Specialization
Citations

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

Fields of papers citing papers by D. Gall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside D. Gall, 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 D. Gall Line = papers co-authored together D. Gall links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004165
2
The adjuvant activity of aliphatic nitrogenous bases.
1966110
3 1995109
4 1996104
5 2004104
6 197077
7 200172
8 199667
9 197362
10 196355
11 197354
12 200052
13 199949
14 199947
15 200446
16 199939
17 200039
18 199637
19 198537
20 199432

About D. Gall

D. Gall is a scholar working on Small Animals, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Endocrinology and Immunology, having authored 55 papers that have together received 1.9k indexed citations. Recurring topics across this work include Brucella: diagnosis, epidemiology, treatment (34 papers), Monoclonal and Polyclonal Antibodies Research (23 papers), Glycosylation and Glycoproteins Research (8 papers), Galectins and Cancer Biology (8 papers), Escherichia coli research studies (8 papers), Bacteriophages and microbial interactions (7 papers), Burkholderia infections and melioidosis (6 papers) and Salmonella and Campylobacter epidemiology (5 papers). The work is most often cited by research in Small Animals (1.2k citations), Endocrinology (208 citations), Agronomy and Crop Science (408 citations), Food Science (494 citations) and Epidemiology (605 citations). D. Gall has collaborated with scholars based in Canada, Argentina and United States. Frequent co-authors include K. Nielsen, P Nicoletti, William A. Kelly, Phillip D. Smith, L. Kelly, Luis Samartino, Michael E. Jolley, J. P. Stanfield, Klaus Nielsen and Peter F. Wright. Their work appears in journals such as Veterinary Immunology and Immunopathology, Veterinary Microbiology, Revue Scientifique et Technique de l OIE, Small Ruminant Research and Journal of Immunological Methods.

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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