Pablo Schierloh

1.4k total citations
33 papers, 996 citations indexed

About

Pablo Schierloh is a scholar working on Immunology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Pablo Schierloh has authored 33 papers receiving a total of 996 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Immunology, 13 papers in Infectious Diseases and 9 papers in Epidemiology. Recurrent topics in Pablo Schierloh's work include Immune Response and Inflammation (15 papers), Tuberculosis Research and Epidemiology (10 papers) and Immune Cell Function and Interaction (10 papers). Pablo Schierloh is often cited by papers focused on Immune Response and Inflammation (15 papers), Tuberculosis Research and Epidemiology (10 papers) and Immune Cell Function and Interaction (10 papers). Pablo Schierloh collaborates with scholars based in Argentina, France and Czechia. Pablo Schierloh's co-authors include Silvia de la Barrera, Mercedes Alemán, Eduardo Abbate, María C. Sasiain, Rosa Musella, Noemí Yokobori, Marı́a del Carmen Sasiain, Luciana Balboa, Verónica I. Landoni and Gabriela Fernández and has published in prestigious journals such as Blood, The Journal of Immunology and American Journal of Respiratory and Critical Care Medicine.

In The Last Decade

Pablo Schierloh

33 papers receiving 989 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pablo Schierloh Argentina 21 642 471 309 118 84 33 996
Luciana Balboa Argentina 19 524 0.8× 472 1.0× 338 1.1× 160 1.4× 97 1.2× 32 897
Marı́a del Carmen Sasiain Argentina 18 427 0.7× 443 0.9× 315 1.0× 130 1.1× 110 1.3× 38 793
Ayano Yahagi Japan 14 909 1.4× 465 1.0× 417 1.3× 160 1.4× 106 1.3× 20 1.3k
Xiaoxing Cheng China 20 549 0.9× 306 0.6× 339 1.1× 270 2.3× 74 0.9× 48 1.1k
Rosa Musella Argentina 21 767 1.2× 714 1.5× 572 1.9× 158 1.3× 162 1.9× 40 1.4k
Nydiaris Hernández‐Santos United States 13 812 1.3× 623 1.3× 534 1.7× 191 1.6× 29 0.3× 14 1.4k
Beatriz E. Marciano United States 16 1.1k 1.7× 469 1.0× 432 1.4× 251 2.1× 99 1.2× 36 1.5k
Beth A. Fallert Junecko United States 11 719 1.1× 629 1.3× 461 1.5× 135 1.1× 125 1.5× 17 1.2k
Kaori Uezu Japan 16 784 1.2× 284 0.6× 490 1.6× 98 0.8× 66 0.8× 20 1.2k
Raffaella Palazzo Italy 16 390 0.6× 164 0.3× 337 1.1× 126 1.1× 45 0.5× 33 873

Countries citing papers authored by Pablo Schierloh

Since Specialization
Citations

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

Fields of papers citing papers by Pablo Schierloh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pablo Schierloh. 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 Pablo Schierloh. The network helps show where Pablo Schierloh may publish in the future.

Co-authorship network of co-authors of Pablo Schierloh

This figure shows the co-authorship network connecting the top 25 collaborators of Pablo Schierloh. A scholar is included among the top collaborators of Pablo Schierloh 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 Pablo Schierloh. Pablo Schierloh 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.
3.
Maleki, Kimia T., Marina García, Ulf Hammar, et al.. (2019). Serum Markers Associated with Severity and Outcome of Hantavirus Pulmonary Syndrome. The Journal of Infectious Diseases. 219(11). 1832–1840. 26 indexed citations
4.
Bénard, Alan, Imme Sakwa, Pablo Schierloh, et al.. (2017). B Cells Producing Type I IFN Modulate Macrophage Polarization in Tuberculosis. American Journal of Respiratory and Critical Care Medicine. 197(6). 801–813. 69 indexed citations
5.
García, Marina, Verónica I. Landoni, Carla Bellomo, et al.. (2017). Massive plasmablast response elicited in the acute phase of hantavirus pulmonary syndrome. Immunology. 151(1). 122–135. 31 indexed citations
6.
Balboa, Luciana, Denise Kviatcovsky, Pablo Schierloh, et al.. (2016). Monocyte-derived dendritic cells early exposed to Mycobacterium tuberculosis induce an enhanced T helper 17 response and transfer mycobacterial antigens. International Journal of Medical Microbiology. 306(7). 541–553. 10 indexed citations
8.
Schierloh, Pablo, Laura Inés Klepp, Federico Carlos Blanco, et al.. (2014). Differential Expression of Immunogenic Proteins on VirulentMycobacterium tuberculosisClinical Isolates. BioMed Research International. 2014. 1–13. 10 indexed citations
9.
Yokobori, Noemí, Beatriz López, Laura Geffner, et al.. (2013). Two genetically-related multidrug-resistant Mycobacterium tuberculosis strains induce divergent outcomes of infection in two human macrophage models. Infection Genetics and Evolution. 16. 151–156. 10 indexed citations
10.
Landoni, Verónica I., et al.. (2012). Shiga Toxin 1 Induces on Lipopolysaccharide-Treated Astrocytes the Release of Tumor Necrosis Factor-alpha that Alter Brain-Like Endothelium Integrity. PLoS Pathogens. 8(3). e1002632–e1002632. 27 indexed citations
11.
Yokobori, Noemí, Laura Geffner, Pablo Schierloh, et al.. (2012). Differential induction of macrophage cell death by antigens of a clustered and a non-clustered multidrug-resistantMycobacterium tuberculosisstrain from Haarlem family. FEMS Immunology & Medical Microbiology. 66(3). 363–371. 7 indexed citations
12.
Balboa, Luciana, María Mercedes Romero, Juan I. Basile, et al.. (2011). Paradoxical role of CD16+CCR2+CCR5+ monocytes in tuberculosis: efficient APC in pleural effusion but also mark disease severity in blood. Journal of Leukocyte Biology. 90(1). 69–75. 51 indexed citations
13.
Schierloh, Pablo, et al.. (2011). CD4+ T Lymphocytes with follicular helper phenotype (TFH) in patients with SH2D1A deficiency (XLP). Clinical Immunology. 141(3). 357–364. 8 indexed citations
14.
Balboa, Luciana, María Mercedes Romero, Noemí Yokobori, et al.. (2010). Mycobacterium tuberculosis impairs dendritic cell response by altering CD1b, DC‐SIGN and MR profile. Immunology and Cell Biology. 88(7). 716–726. 40 indexed citations
15.
Schierloh, Pablo, Noemí Yokobori, Laura Geffner, et al.. (2009). NK cells from tuberculous pleurisy express high ICAM‐1 levels and exert stimulatory effect on local T cells. European Journal of Immunology. 39(9). 2450–2458. 11 indexed citations
17.
Schierloh, Pablo, Mercedes Alemán, Noemí Yokobori, et al.. (2005). NK cell activity in tuberculosis is associated with impaired CD11a and ICAM‐1 expression: a regulatory role of monocytes in NK activation. Immunology. 116(4). 541–552. 41 indexed citations
18.
Alemán, Mercedes, Silvia de la Barrera, Pablo Schierloh, et al.. (2005). In Tuberculous Pleural Effusions, Activated Neutrophils Undergo Apoptosis and Acquire a Dendritic Cell–Like Phenotype. The Journal of Infectious Diseases. 192(3). 399–409. 35 indexed citations
19.
Barrera, Silvia de la, Mercedes Alemán, Rosa Musella, et al.. (2004). IL-10 down-regulates costimulatory molecules onMycobacterium tuberculosis-pulsed macrophages and impairs the lytic activity of CD4 and CD8 CTL in tuberculosis patients. Clinical & Experimental Immunology. 138(1). 128–138. 62 indexed citations
20.
Alemán, Mercedes, Pablo Schierloh, Silvia de la Barrera, et al.. (2004). Mycobacterium tuberculosisTriggers Apoptosis in Peripheral Neutrophils Involving Toll-Like Receptor 2 and p38 Mitogen Protein Kinase in Tuberculosis Patients. Infection and Immunity. 72(9). 5150–5158. 73 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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