F. A. Neva

50 papers receiving 2.1k citations

Peers

F. A. Neva
Comparison fields: 5 of 89
  • Parasitology 880
  • Public Health, Environmental and Occupational Health 1.1k
  • Epidemiology 845
  • Small Animals 190
  • Immunology 440
Replace Albert A. Gam with:
Albert A. Gam United States
F Santoro France
Hannah Akuffo Sweden
H.W. Ghalib Sudan
Amélia Ribeiro de Jesus Brazil
R Hussain Pakistan
Irving G. Kagan United States
Pierre Peters United States
A. F. Koutinas Greece
B. P. Marmion Australia
F. A. Neva relative to Albert A. Gam United States Albert A. Gam's profile →
Citations per field
00.5×1.5×
Albert A. Gam · 1×
Citations per year

Countries citing papers authored by F. A. Neva

Since Specialization
Citations

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

Fields of papers citing papers by F. A. Neva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993293
2 1962243
3 1987211
4 1991100
5 198799
6 199592
7 198683
8 199482
9
The acquisition and loss of antigen-specific cellular immune responsiveness in acute and chronic schistosomiasis in man.
197881
10 198179
11 199272
12 198368
13 197962
14 198951
15 198450
16 197546
17 199542
18 198442
19 199341
20 197438

About F. A. Neva

F. A. Neva is a scholar working on Public Health, Environmental and Occupational Health, Parasitology, Epidemiology, Immunology and Infectious Diseases, having authored 51 papers that have together received 2.3k indexed citations. Recurring topics across this work include Research on Leishmaniasis Studies (17 papers), Parasites and Host Interactions (15 papers), Trypanosoma species research and implications (7 papers), T-cell and Retrovirus Studies (7 papers), Malaria Research and Control (4 papers), Animal Disease Management and Epidemiology (3 papers), Mosquito-borne diseases and control (3 papers) and Complement system in diseases (3 papers). The work is most often cited by research in Parasitology (880 citations), Public Health, Environmental and Occupational Health (1.1k citations), Epidemiology (845 citations), Small Animals (190 citations) and Immunology (440 citations). F. A. Neva has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Albert A. Gam, Thomas H. Weller, David L. Sacks, Thomas B. Nutman, Eric A. Ottesen, Sudish Lal, Shikha Shrivastava, Jerry L. Blackwell, Peter C. Melby and Richard D. Kreutzer. Their work appears in journals such as The Journal of Infectious Diseases, American Journal of Tropical Medicine and Hygiene, Experimental Biology and Medicine, The Lancet and Journal of Clinical Investigation.

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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