Daniel Feldman Pollak

594 total citations
17 papers, 245 citations indexed

About

Daniel Feldman Pollak is a scholar working on Psychiatry and Mental health, Pharmacology and Rheumatology. According to data from OpenAlex, Daniel Feldman Pollak has authored 17 papers receiving a total of 245 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Psychiatry and Mental health, 9 papers in Pharmacology and 6 papers in Rheumatology. Recurrent topics in Daniel Feldman Pollak's work include Fibromyalgia and Chronic Fatigue Syndrome Research (10 papers), Musculoskeletal pain and rehabilitation (8 papers) and Rheumatoid Arthritis Research and Therapies (5 papers). Daniel Feldman Pollak is often cited by papers focused on Fibromyalgia and Chronic Fatigue Syndrome Research (10 papers), Musculoskeletal pain and rehabilitation (8 papers) and Rheumatoid Arthritis Research and Therapies (5 papers). Daniel Feldman Pollak collaborates with scholars based in Brazil, United States and Mexico. Daniel Feldman Pollak's co-authors include Marcos Bosi Ferraz, I. Jon Russell, Roberto Ezequiel Heymann, Jamil Natour, Yangming Xiao, Valéria Valim, Eliana Zandonade, César Ramos-Remus, Philippe Chalem and Ricardo Machado Xavier and has published in prestigious journals such as SHILAP Revista de lepidopterología, Gut and Annals of the Rheumatic Diseases.

In The Last Decade

Daniel Feldman Pollak

16 papers receiving 232 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Feldman Pollak Brazil 10 102 84 69 27 20 17 245
Martina D’Onghia Italy 9 142 1.4× 89 1.1× 38 0.6× 19 0.7× 15 0.8× 34 308
Edibe Ünal Türkiye 8 100 1.0× 65 0.8× 68 1.0× 11 0.4× 53 2.6× 53 254
J F Haverman Netherlands 6 201 2.0× 193 2.3× 87 1.3× 23 0.9× 36 1.8× 8 414
T. Schochat Germany 9 150 1.5× 146 1.7× 26 0.4× 19 0.7× 8 0.4× 24 298
Benedetta Panni Italy 8 115 1.1× 90 1.1× 144 2.1× 8 0.3× 53 2.6× 10 299
Antonio Juan Más Spain 8 226 2.2× 154 1.8× 67 1.0× 44 1.6× 11 0.6× 24 405
T.L González Spain 4 243 2.4× 207 2.5× 18 0.3× 40 1.5× 13 0.7× 10 370
Marja Arkela-Kautiainen Finland 10 43 0.4× 106 1.3× 57 0.8× 8 0.3× 94 4.7× 13 292
Pilar Lavielle Mexico 7 87 0.9× 106 1.3× 26 0.4× 14 0.5× 4 0.2× 18 402
Mayte Serrat Spain 7 167 1.6× 135 1.6× 10 0.1× 13 0.5× 23 1.1× 25 327

Countries citing papers authored by Daniel Feldman Pollak

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Feldman Pollak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Feldman Pollak. 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 Daniel Feldman Pollak. The network helps show where Daniel Feldman Pollak may publish in the future.

Co-authorship network of co-authors of Daniel Feldman Pollak

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Feldman Pollak. A scholar is included among the top collaborators of Daniel Feldman Pollak 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 Daniel Feldman Pollak. Daniel Feldman Pollak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Rogero, Marcelo Macedo, et al.. (2021). Evaluation of biomarkers related to zinc nutritional status, antioxidant activity and oxidative stress in rheumatoid arthritis patients. Nutrition and Health. 28(2). 257–264. 8 indexed citations
2.
Assis, Marcos Renato de, Eduardo dos Santos Paiva, Milton Helfenstein, et al.. (2020). Treatment data from the Brazilian fibromyalgia registry (EpiFibro). Advances in Rheumatology. 60(1). 9–9. 5 indexed citations
3.
Xavier, Ricardo Machado, Cristiano A. F. Zerbini, Daniel Feldman Pollak, et al.. (2019). Burden of rheumatoid arthritis on patients’ work productivity and quality of life. Advances in Rheumatology. 59(1). 47–47. 49 indexed citations
4.
Pollak, Daniel Feldman. (2015). Estudo da evolução e prognóstico na dermatopolimiosite. UNIFESP Institutional Repository (Universidade Federal de São Paulo).
5.
Mota, Lícia Maria Henrique da, Bóris Afonso Cruz, Claiton Viegas Brenol, et al.. (2014). Segurança do uso de terapias biológicas para o tratamento de artrite reumatoide e espondiloartrites. Revista Brasileira de Reumatologia. 55(3). 281–309. 13 indexed citations
6.
Mota, Lícia Maria Henrique da, Bóris Afonso Cruz, Claiton Viegas Brenol, et al.. (2014). Safe use of biological therapies for the treatment of rheumatoid arthritis and spondyloarthritides. Revista Brasileira de Reumatologia (English Edition). 55(3). 281–309. 1 indexed citations
7.
Valim, Valéria, Jamil Natour, Yangming Xiao, et al.. (2013). Effects of physical exercise on serum levels of serotonin and its metabolite in fibromyalgia: a randomized pilot study. Revista Brasileira de Reumatologia (English Edition). 53(6). 538–541. 11 indexed citations
8.
Valim, Valéria, Jamil Natour, Yangming Xiao, et al.. (2013). Efeitos do exercício físico sobre os níveis séricos de serotonina e seu metabólito na fibromialgia: Um estudo piloto randomizado. Revista Brasileira de Reumatologia. 53(6). 538–541. 43 indexed citations
9.
Pollak, Daniel Feldman, et al.. (2012). AB1426-HPR Evaluation of socio-demographic variables, psychiatric comorbidity, and pain in fibromyalgia patients. Annals of the Rheumatic Diseases. 71. 756–756. 3 indexed citations
10.
Heymann, Roberto Ezequiel, et al.. (2011). Avaliação do nível de conhecimento sobre fibromialgia entre usuários da internet. Revista Brasileira de Reumatologia. 51(1). 13–19. 12 indexed citations
11.
Heymann, Roberto Ezequiel, et al.. (2009). A comparison of quality of life, demographic and clinical characteristics of Brazilian men with fibromyalgia syndrome with male patients with depression. Rheumatology International. 30(4). 473–478. 15 indexed citations
12.
Pollak, Daniel Feldman, et al.. (2009). A compreensão do residente médico em reumatologia no atendimento aos pacientes com fibromialgia. SHILAP Revista de lepidopterología. 33(3). 393–404. 5 indexed citations
13.
Araújo, Maíta Poli de, et al.. (2008). Urodynamic study and quality of life in patients with fibromyalgia and lower urinary tract symptoms. International Urogynecology Journal. 19(8). 1103–1107. 21 indexed citations
14.
Pollak, Daniel Feldman, et al.. (2007). Baixa dose de methotrexate comparado a placebo em osteoartrite de joelho. Revista Brasileira de Reumatologia. 47(5). 334–340. 14 indexed citations
15.
Ferraz, Marcos Bosi, et al.. (1999). Validação dos critérios do Colégio Americano de Reumatologia (1990) para classificação da Fibromialgia, em uma população brasileira. Revista Brasileira de Reumatologia. 39(4). 221–230. 23 indexed citations
16.
Atra, E, Daniel Feldman Pollak, & José Eduardo Martinez. (1993). Fibromialgia: etiopatogenia e terapêutica. Revista Brasileira de Reumatologia. 65–72. 4 indexed citations
17.
Stalnikowicz, Ruth, Daniel Feldman Pollak, Abraham R. Eliakim, et al.. (1988). Cimetidine decreases indomethacin induced duodenal mucosal damage in patients with acute musculoskeletal disorders.. Gut. 29(11). 1578–1582. 18 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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