Daniel M. Saidemberg

982 total citations
22 papers, 789 citations indexed

About

Daniel M. Saidemberg is a scholar working on Molecular Biology, Insect Science and Cellular and Molecular Neuroscience. According to data from OpenAlex, Daniel M. Saidemberg has authored 22 papers receiving a total of 789 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Insect Science and 6 papers in Cellular and Molecular Neuroscience. Recurrent topics in Daniel M. Saidemberg's work include Insect and Pesticide Research (7 papers), Neurobiology and Insect Physiology Research (5 papers) and Healthcare and Venom Research (3 papers). Daniel M. Saidemberg is often cited by papers focused on Insect and Pesticide Research (7 papers), Neurobiology and Insect Physiology Research (5 papers) and Healthcare and Venom Research (3 papers). Daniel M. Saidemberg collaborates with scholars based in Brazil, United States and Israel. Daniel M. Saidemberg's co-authors include Mário Sérgio Palma, Paul Webb, Igor Polikarpov, Munir S. Skaf, Aleksandra Čvoro, Rodrigo L. Silveira, Paulo C. T. Souza, Leandro Martı́nez, Francisco de Assis Rocha Neves and M.V. Liberato and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and American Journal of Clinical Nutrition.

In The Last Decade

Daniel M. Saidemberg

22 papers receiving 779 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 M. Saidemberg Brazil 13 336 144 143 98 90 22 789
Uma Gaur China 20 894 2.7× 141 1.0× 77 0.5× 123 1.3× 220 2.4× 50 1.7k
Anlong Xu China 16 324 1.0× 50 0.3× 36 0.3× 50 0.5× 66 0.7× 34 1.0k
József Langó United States 18 421 1.3× 225 1.6× 44 0.3× 112 1.1× 37 0.4× 29 900
Li Luo China 25 595 1.8× 59 0.4× 53 0.4× 50 0.5× 141 1.6× 103 2.4k
Kenneth L. Polakoski United States 22 374 1.1× 103 0.7× 100 0.7× 56 0.6× 83 0.9× 38 1.2k
Ling Wang China 24 1.1k 3.2× 98 0.7× 230 1.6× 50 0.5× 50 0.6× 94 1.7k
Elena Menegola Italy 25 769 2.3× 225 1.6× 56 0.4× 24 0.2× 44 0.5× 92 1.8k
M. Carmen Martı́nez Spain 28 1.1k 3.3× 122 0.8× 142 1.0× 33 0.3× 174 1.9× 58 2.4k
Shuai Liu China 23 980 2.9× 81 0.6× 166 1.2× 69 0.7× 77 0.9× 69 1.6k
Mariateresa Volpicella Italy 20 586 1.7× 107 0.7× 147 1.0× 17 0.2× 60 0.7× 56 1.0k

Countries citing papers authored by Daniel M. Saidemberg

Since Specialization
Citations

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

Fields of papers citing papers by Daniel M. Saidemberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel M. Saidemberg

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel M. Saidemberg. A scholar is included among the top collaborators of Daniel M. Saidemberg 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 M. Saidemberg. Daniel M. Saidemberg 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.
Saidemberg, Daniel M., Natalya M. Kogan, Nir Goldstein, et al.. (2020). Distinct infrastructure of lipid networks in visceral and subcutaneous adipose tissues in overweight humans. American Journal of Clinical Nutrition. 112(4). 979–990. 11 indexed citations
2.
Batushansky, Albert, et al.. (2020). A Shift in Glycerolipid Metabolism Defines the Follicular Fluid of IVF Patients with Unexplained Infertility. Biomolecules. 10(8). 1135–1135. 12 indexed citations
3.
Saidemberg, Daniel M., et al.. (2019). A shift in follicular fluid from triacylglycerols to membrane lipids is associated with positive pregnancy outcome. The FASEB Journal. 33(9). 10291–10299. 5 indexed citations
4.
Santos‐Pinto, José Roberto Aparecido dos, et al.. (2016). Using a proteometabolomic approach to investigate the role of Dufour's gland in pheromone biosynthesis in the social wasp Polybia paulista. Journal of Proteomics. 151. 122–130. 8 indexed citations
5.
Serrão, Vitor Hugo Balasco, et al.. (2015). Formation of a Ternary Complex for Selenocysteine Biosynthesis in Bacteria. Journal of Biological Chemistry. 290(49). 29178–29188. 18 indexed citations
7.
Puhl, Ana C., Amanda Bernardes, Rodrigo L. Silveira, et al.. (2012). Mode of Peroxisome Proliferator-Activated Receptor γ Activation by Luteolin. Molecular Pharmacology. 81(6). 788–799. 81 indexed citations
8.
Bernardes, Amanda, Fernanda Aparecida Heleno Batista, Mário de Oliveira Neto, et al.. (2012). Low-Resolution Molecular Models Reveal the Oligomeric State of the PPAR and the Conformational Organization of Its Domains in Solution. PLoS ONE. 7(2). e31852–e31852. 22 indexed citations
9.
Liberato, M.V., Alessandro S. Nascimento, Jean Z. Lin, et al.. (2012). Medium Chain Fatty Acids Are Selective Peroxisome Proliferator Activated Receptor (PPAR) γ Activators and Pan-PPAR Partial Agonists. PLoS ONE. 7(5). e36297–e36297. 357 indexed citations
12.
Saidemberg, Daniel M., et al.. (2011). Shikimate Kinase (EC 2.7.1.71) from Mycobacterium tuberculosis: Kinetics and Structural Dynamics of a Potential Molecular Target for Drug Development. Current Medicinal Chemistry. 18(9). 1299–1310. 5 indexed citations
13.
Saidemberg, Daniel M., et al.. (2011). Profiling the peptidome of the venom from the social wasp Agelaia pallipes pallipes. Journal of Proteomics. 74(10). 2123–2137. 25 indexed citations
14.
Saidemberg, Daniel M., Bibiana Monson de Souza, Maria Anita Mendes, et al.. (2010). Protonectin (1–6): A novel chemotactic peptide from the venom of the social wasp Agelaia pallipes pallipes. Toxicon. 56(6). 880–889. 22 indexed citations
15.
Brigatte, Patrícia, Yara Cury, Bibiana Monson de Souza, et al.. (2010). Hyperalgesic and edematogenic effects of peptides isolated from the venoms of honeybee (Apis mellifera) and neotropical social wasps (Polybia paulista and Protonectarina sylveirae). Amino Acids. 40(1). 101–111. 21 indexed citations
16.
Saidemberg, Daniel M., et al.. (2010). Polybioside, a Neuroactive Compound from the Venom of the Social Wasp Polybia paulista. Journal of Natural Products. 73(4). 527–531. 10 indexed citations
17.
Figueira, Ana Carolina Migliorini, Daniel M. Saidemberg, Paulo C. T. Souza, et al.. (2010). Analysis of Agonist and Antagonist Effects on Thyroid Hormone Receptor Conformation by Hydrogen/Deuterium Exchange. Molecular Endocrinology. 25(1). 15–31. 39 indexed citations
18.
Saidemberg, Daniel M., Marco A. B. Ferreira, Paulo César Gomes, et al.. (2009). Monoamine oxidase inhibitory activities of indolylalkaloid toxins from the venom of the colonial spider Parawixia bistriata: Functional characterization of PwTX-I. Toxicon. 54(6). 717–724. 20 indexed citations
19.
Neto, Mário de Oliveira, Ana Carolina Migliorini Figueira, Maria A.M. Santos, et al.. (2007). Orphan nuclear receptor NGFI‐B forms dimers with nonclassical interface. Protein Science. 16(8). 1762–1772. 5 indexed citations
20.
Mendes, Maria Anita, Cláudio F. Tormena, Maurício Ribeiro Marques, et al.. (2005). Isolation and chemical characterization of PwTx-II: A novel alkaloid toxin from the venom of the spider Parawixia bistriata (Araneidae, Araneae). Toxicon. 46(7). 786–796. 16 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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