Albert A. Gam

48 papers receiving 2.5k citations

Peers

Albert A. Gam
Comparison fields: 5 of 98
  • Parasitology 1.0k
  • Public Health, Environmental and Occupational Health 1.1k
  • Small Animals 298
  • Immunology 572
  • Epidemiology 836
Replace F. A. Neva with:
F. A. Neva United States
Amélia Ribeiro de Jesus Brazil
Daniella Castanheira Bartholomeu Brazil
Olı́via Bacellar Brazil
Jean‐Marie Grzych France
Thomas C. Jones United States
E. H. Sadun United States
Lilian Lacerda Bueno Brazil
Byoung‐Kuk Na South Korea
H.W. Ghalib Sudan
Albert A. Gam relative to F. A. Neva United States F. A. Neva's profile →
Citations per field
00.5×1.7×
F. A. Neva · 1×
Citations per year

Countries citing papers authored by Albert A. Gam

Since Specialization
Citations

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

Fields of papers citing papers by Albert A. Gam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Albert A. Gam. 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 Albert A. Gam. The network helps show where Albert A. Gam may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999312
2 1994159
3 2002156
4 1999127
5 1998113
6 1987103
7 198799
8 199093
9 199482
10 198179
11 199274
12 199272
13 200066
14 198765
15 198764
16 200364
17 199858
18 198450
19 200144
20 199542

About Albert A. Gam

Albert A. Gam is a scholar working on Public Health, Environmental and Occupational Health, Parasitology, Epidemiology, Immunology and Molecular Biology, having authored 48 papers that have together received 2.6k indexed citations. Recurring topics across this work include Parasites and Host Interactions (19 papers), Research on Leishmaniasis Studies (17 papers), Trypanosoma species research and implications (15 papers), T-cell and Retrovirus Studies (4 papers), Animal Disease Management and Epidemiology (3 papers), Helminth infection and control (3 papers), Parasitic Diseases Research and Treatment (3 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Parasitology (1.0k citations), Public Health, Environmental and Occupational Health (1.1k citations), Small Animals (298 citations), Immunology (572 citations) and Epidemiology (836 citations). Albert A. Gam has collaborated with scholars based in United States, Brazil and India. Frequent co-authors include Richard T. Kenney, Franklin A. Neva, F. A. Neva, David L. Sacks, John Seed, Peter H. Gann, Louis V. Kirchhoff, Elvira M. Saraiva, Shyam Sundar and Rosalía Lira. Their work appears in journals such as American Journal of Tropical Medicine and Hygiene, The Journal of Infectious Diseases, Parasitology, Journal of Parasitology and Molecular and Biochemical Parasitology.

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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