Nelson M. Vaz

2.0k total citations
62 papers, 1.6k citations indexed

About

Nelson M. Vaz is a scholar working on Immunology, Immunology and Allergy and Molecular Biology. According to data from OpenAlex, Nelson M. Vaz has authored 62 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Immunology, 14 papers in Immunology and Allergy and 12 papers in Molecular Biology. Recurrent topics in Nelson M. Vaz's work include Food Allergy and Anaphylaxis Research (12 papers), T-cell and B-cell Immunology (11 papers) and Monoclonal and Polyclonal Antibodies Research (10 papers). Nelson M. Vaz is often cited by papers focused on Food Allergy and Anaphylaxis Research (12 papers), T-cell and B-cell Immunology (11 papers) and Monoclonal and Polyclonal Antibodies Research (10 papers). Nelson M. Vaz collaborates with scholars based in Brazil, United States and United Kingdom. Nelson M. Vaz's co-authors include Donald G. Hanson, Bernard B. Levine, Luiz C.S. Maia, Lee K. Richman, William R. Brown, Jacques M. Chiller, J. M. Lynch, Cláudia R. Carvalho, Zoltán Óváry and J.A. Lynch and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and The Journal of Experimental Medicine.

In The Last Decade

Nelson M. Vaz

59 papers receiving 1.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Nelson M. Vaz Brazil 22 791 286 225 207 189 62 1.6k
N.M. Vaz Brazil 19 537 0.7× 244 0.9× 153 0.7× 183 0.9× 166 0.9× 46 1.1k
Ellen E. E. Jarrett United Kingdom 25 542 0.7× 427 1.5× 164 0.7× 349 1.7× 152 0.8× 42 1.6k
Donald G. Hanson United States 16 558 0.7× 210 0.7× 128 0.6× 121 0.6× 72 0.4× 31 1.2k
Hans Lange Germany 16 610 0.8× 132 0.5× 485 2.2× 130 0.6× 131 0.7× 48 1.5k
Elisabeth Förster‐Waldl Austria 27 1.0k 1.3× 272 1.0× 356 1.6× 195 0.9× 128 0.7× 52 2.2k
J R McGhee United States 26 1.2k 1.5× 81 0.3× 403 1.8× 185 0.9× 155 0.8× 59 2.1k
Robert J. Bischof Australia 23 720 0.9× 186 0.7× 238 1.1× 282 1.4× 60 0.3× 64 1.8k
Tracy L. Stevens United States 23 628 0.8× 77 0.3× 354 1.6× 202 1.0× 287 1.5× 34 2.3k
Neil R. Lynch Venezuela 25 326 0.4× 511 1.8× 157 0.7× 632 3.1× 50 0.3× 58 1.9k
E Savilahti Finland 24 369 0.5× 434 1.5× 186 0.8× 207 1.0× 58 0.3× 53 1.6k

Countries citing papers authored by Nelson M. Vaz

Since Specialization
Citations

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

Fields of papers citing papers by Nelson M. Vaz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nelson M. Vaz. 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 Nelson M. Vaz. The network helps show where Nelson M. Vaz may publish in the future.

Co-authorship network of co-authors of Nelson M. Vaz

This figure shows the co-authorship network connecting the top 25 collaborators of Nelson M. Vaz. A scholar is included among the top collaborators of Nelson M. Vaz 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 Nelson M. Vaz. Nelson M. Vaz 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
1.
Vaz, Nelson M., et al.. (2020). Ensinar é impossível, e aprender, inevitável: comentários sobre a epistemologia de Humberto Maturana. 3. 1183–1227. 1 indexed citations
2.
Vaz, Nelson M., et al.. (2014). Improved cutaneous wound healing after intraperitoneal injection of alpha‐melanocyte‐stimulating hormone. Experimental Dermatology. 24(3). 198–203. 32 indexed citations
3.
Vaz, Nelson M. & Cláudia R. Carvalho. (2014). On the origin of immunopathology. Journal of Theoretical Biology. 375. 61–70. 8 indexed citations
4.
Castro, Antônio Barros de, et al.. (2012). Oral tolerance correlates with high levels of lymphocyte activity. Cellular Immunology. 280(2). 171–181. 20 indexed citations
5.
6.
Vaz, Nelson M.. (2011). The Enactive Paradigm 33 Years Later. Response to Alfred Tauber. Constructivist Foundations. 6(3). 345–351. 3 indexed citations
7.
Vaz, Nelson M.. (2011). The Specificity of Immunologic Observations. Constructivist Foundations. 6(3). 334–342. 5 indexed citations
8.
Gava, Elisandra, et al.. (2011). Indirect effects of oral tolerance improve wound healing in skin. Wound Repair and Regeneration. 19(4). 487–497. 22 indexed citations
9.
Vaz, Nelson M. & Cláudia R. Carvalho. (2010). Imunologia, intencionalidade e acaso.. Informática na educação teoria & prática. 12(2). 2 indexed citations
10.
Ribeiro, Leonardo Costa, Ronald Dickman, Américo Tristão Bernardes, & Nelson M. Vaz. (2007). Dynamic stability in random and scale-free B-lymphocyte networks. Physical Review E. 75(3). 31911–31911. 6 indexed citations
11.
Ramos, Gustavo C., et al.. (2006). Wings for Flying, Lymphocytes for Defense: Spandrels, Exaptation and Specific Immunity. 3(4). 211–216. 5 indexed citations
12.
Vaz, Nelson M., Gustavo C. Ramos, Vitor Pordeus, & Cláudia R. Carvalho. (2006). The Conservative Physiology of the Immune System. A Non‐Metaphoric Approach to Immunological Activity. Journal of Immunology Research. 13(2-4). 133–142. 10 indexed citations
13.
Menezes, Juscilene S., et al.. (2006). Immunological activities are modulated by enteral administration of an elemental diet in mice. Clinical Nutrition. 25(4). 643–652. 22 indexed citations
14.
Martins‐Filho, Olindo Assis, et al.. (2006). Systemic effects of oral tolerance on inflammation: mobilization of lymphocytes and bone marrow eosinopoiesis. Immunology. 117(4). 517–525. 11 indexed citations
15.
Faria, Ana Maria Caetano, et al.. (1998). Aging affects oral tolerance induction but not its maintenance in mice. Mechanisms of Ageing and Development. 102(1). 67–80. 39 indexed citations
16.
Hanson, Donald G., Nelson M. Vaz, Luiz C.S. Maia, & J. M. Lynch. (1979). Inhibition of Specific Immune Responses by Feeding Protein Antigens. The Journal of Immunology. 123(5). 2337–2343. 34 indexed citations
17.
Richman, Lee K., Jacques M. Chiller, William R. Brown, Donald G. Hanson, & Nelson M. Vaz. (1978). Enterically induced immunologic tolerance. I. Induction of suppressor T lymphoyctes by intragastric administration of soluble proteins.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 121(6). 2429–34. 187 indexed citations
18.
Óváry, Zoltán, et al.. (1973). Independent Segregation of the H-2 Locus and the Locus for Responsiveness to Histamine-Sensitizing Factor. Proceedings of the National Academy of Sciences. 70(9). 2500–2501. 11 indexed citations
19.
Vaz, Nelson M., et al.. (1971). H-2-LINKED GENETIC CONTROL OF IMMUNE RESPONSIVENESS TO OVALBUMIN AND OVOMUCOID. The Journal of Experimental Medicine. 134(5). 1335–1348. 76 indexed citations
20.
Vaz, Nelson M. & Zoltán Óváry. (1970). Passive anaphylaxis in mice with gamma G antibodies. IV. Strain differences in susceptibility to mast cell sensitization in vitro.. The Mouseion at the JAXlibrary (Jackson Laboratory). 104(4). 896–901. 5 indexed citations

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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