Andrea Gutschmidt

1.2k total citations
16 papers, 608 citations indexed

About

Andrea Gutschmidt is a scholar working on Infectious Diseases, Immunology and Epidemiology. According to data from OpenAlex, Andrea Gutschmidt has authored 16 papers receiving a total of 608 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Infectious Diseases, 7 papers in Immunology and 5 papers in Epidemiology. Recurrent topics in Andrea Gutschmidt's work include Tuberculosis Research and Epidemiology (9 papers), Immunodeficiency and Autoimmune Disorders (4 papers) and Mycobacterium research and diagnosis (4 papers). Andrea Gutschmidt is often cited by papers focused on Tuberculosis Research and Epidemiology (9 papers), Immunodeficiency and Autoimmune Disorders (4 papers) and Mycobacterium research and diagnosis (4 papers). Andrea Gutschmidt collaborates with scholars based in South Africa, Germany and Norway. Andrea Gutschmidt's co-authors include Stefan H. E. Kaufmann, Marc Jacobsen, Dirk Repsilber, Andreas Ziegler, Hans‐Joachim Mollenkopf, Knut Feldmann, Gerhard Walzl, Anne Detjen, Anneke C. Hesseling and K. Magdorf and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and PLoS ONE.

In The Last Decade

Andrea Gutschmidt

15 papers receiving 598 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrea Gutschmidt South Africa 10 474 322 273 139 117 16 608
Jamila El Baghdadi Morocco 9 352 0.7× 324 1.0× 265 1.0× 108 0.8× 118 1.0× 24 619
Ulrike Zedler Germany 13 514 1.1× 261 0.8× 467 1.7× 89 0.6× 145 1.2× 18 760
Ryhor Harbacheuski United States 8 616 1.3× 445 1.4× 289 1.1× 194 1.4× 142 1.2× 10 787
Jonathan Kevin Sia United States 8 342 0.7× 223 0.7× 199 0.7× 81 0.6× 109 0.9× 8 486
Kee Woong Kwon South Korea 16 396 0.8× 277 0.9× 313 1.1× 51 0.4× 154 1.3× 40 607
Katrin D Mayer–Barber United States 6 502 1.1× 342 1.1× 540 2.0× 117 0.8× 196 1.7× 6 914
María C. Sasiain Argentina 15 384 0.8× 291 0.9× 467 1.7× 80 0.6× 88 0.8× 22 720
Cynthia A. Martino United States 5 349 0.7× 244 0.8× 330 1.2× 69 0.5× 58 0.5× 5 505
Javier O. Jurado Argentina 9 332 0.7× 249 0.8× 366 1.3× 61 0.4× 71 0.6× 11 579
Alexander V. Panteleev Russia 6 257 0.5× 160 0.5× 191 0.7× 85 0.6× 64 0.5× 7 382

Countries citing papers authored by Andrea Gutschmidt

Since Specialization
Citations

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

Fields of papers citing papers by Andrea Gutschmidt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrea Gutschmidt

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

All Works

16 of 16 papers shown
1.
Gutschmidt, Andrea, et al.. (2023). Investigating Mycobacterium tuberculosis sufR (rv1460) in vitro and ex vivo expression and immunogenicity. PLoS ONE. 18(6). e0286965–e0286965. 2 indexed citations
2.
Malherbe, Stephanus T., Andriëtte Hiemstra, Leigh A. Kotzé, et al.. (2022). Sildenafil, a Type-5 Phosphodiesterase Inhibitor, Fails to Reverse Myeloid-Derived Suppressor Cell-Mediated T Cell Suppression in Cells Isolated From Tuberculosis Patients. Frontiers in Immunology. 13. 883886–883886. 4 indexed citations
3.
Leisching, Gina, et al.. (2020). Immunoglobulin profile and B‐cell frequencies are altered with changes in the cellular microenvironment independent of the stimulation conditions. Immunity Inflammation and Disease. 8(3). 458–467. 3 indexed citations
4.
Ahlers, Petri, Andriëtte Hiemstra, André G. Loxton, et al.. (2019). Performance and immune characteristics of bronchoalveolar lavage by research bronchoscopy in pulmonary tuberculosis and other lung diseases in the Western Cape, South Africa. SHILAP Revista de lepidopterología. 4(1). 8 indexed citations
5.
Gutschmidt, Andrea, Hygon Mutavhatsindi, Petri Ahlers, et al.. (2019). Prospective evaluation of host biomarkers other than interferon gamma in QuantiFERON Plus supernatants as candidates for the diagnosis of tuberculosis in symptomatic individuals. Journal of Infection. 79(3). 228–235. 19 indexed citations
6.
Loxton, André G., Leander Grode, Andrea Gutschmidt, et al.. (2017). Safety and Immunogenicity of the Recombinant Mycobacterium bovis BCG Vaccine VPM1002 in HIV-Unexposed Newborn Infants in South Africa. Clinical and Vaccine Immunology. 24(2). 108 indexed citations
7.
Plessis, Nelita du, Andrea Gutschmidt, Zhuo Fang, et al.. (2016). Phenotypically resembling myeloid derived suppressor cells are increased in children with HIV and exposed/infected with Mycobacterium tuberculosis. European Journal of Immunology. 47(1). 107–118. 23 indexed citations
8.
Jacobsen, Marc, Dirk Repsilber, Katja Kleinsteuber, et al.. (2010). Suppressor of cytokine signaling-3 is affected in T-cells from tuberculosisTB patients. Clinical Microbiology and Infection. 17(9). 1323–1331. 44 indexed citations
9.
Detjen, Anne, Harleen M. S. Grewal, Kim Stanley, et al.. (2009). Short-Term Reproducibility of a Commercial Interferon Gamma Release Assay. Clinical and Vaccine Immunology. 16(8). 1170–1175. 50 indexed citations
10.
Mueller, H., Anne Detjen, Sebastian Schuck, et al.. (2008). Mycobacterium tuberculosis-specific CD4+, IFNγ+, and TNFα+ multifunctional memory T cells coexpress GM-CSF. Cytokine. 43(2). 143–148. 68 indexed citations
11.
Jacobsen, Marc, Dirk Repsilber, Andrea Gutschmidt, et al.. (2007). Candidate biomarkers for discrimination between infection and disease caused by Mycobacterium tuberculosis. Journal of Molecular Medicine. 85(6). 613–621. 194 indexed citations
12.
Jacobsen, Marc, Anne Detjen, H. Mueller, et al.. (2007). Clonal Expansion of CD8+ Effector T Cells in Childhood Tuberculosis. The Journal of Immunology. 179(2). 1331–1339. 35 indexed citations
13.
Repsilber, Dirk, et al.. (2006). Deconfounding Microarray Analysis. Methods of Information in Medicine. 45(5). 557–563.
14.
Jacobsen, Marc, Andrea Gutschmidt, K. Feldmann, et al.. (2006). Deconfounding microarray analysis - independent measurements of cell type proportions used in a regression model to resolve tissue heterogeneity bias.. PubMed. 45(5). 557–63. 19 indexed citations
15.
Jacobsen, Marc, Dirk Repsilber, Andrea Gutschmidt, et al.. (2005). Ras‐Associated Small GTPase 33A, a Novel T Cell Factor, Is Down‐Regulated in Patients with Tuberculosis. The Journal of Infectious Diseases. 192(7). 1211–1218. 28 indexed citations
16.
Nager, F, P Lichtlen, W Steinbrunn, et al.. (1969). Kardiogener Schock nach Myokardinfarkt. DMW - Deutsche Medizinische Wochenschrift. 94(33). 1640–1645. 3 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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