Christa Hackl

426 total citations
8 papers, 345 citations indexed

About

Christa Hackl is a scholar working on Hematology, Surgery and Epidemiology. According to data from OpenAlex, Christa Hackl has authored 8 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Hematology, 2 papers in Surgery and 2 papers in Epidemiology. Recurrent topics in Christa Hackl's work include Erythrocyte Function and Pathophysiology (2 papers), Hematopoietic Stem Cell Transplantation (2 papers) and Blood groups and transfusion (2 papers). Christa Hackl is often cited by papers focused on Erythrocyte Function and Pathophysiology (2 papers), Hematopoietic Stem Cell Transplantation (2 papers) and Blood groups and transfusion (2 papers). Christa Hackl collaborates with scholars based in Austria and Germany. Christa Hackl's co-authors include Christian Gabriel, Susanne Wolbank, Heinz Redl, Barbara Kronsteiner, Johannes Pröll, Martijn van Griensven, Anja Peterbauer, Katja Hofer, Helene Polin and Martin Danzer and has published in prestigious journals such as Transplantation, Stem Cells and Development and DNA Research.

In The Last Decade

Christa Hackl

8 papers receiving 338 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christa Hackl Austria 7 145 129 82 76 65 8 345
Rosa M. Gonzalo‐Daganzo Spain 10 163 1.1× 111 0.9× 153 1.9× 59 0.8× 61 0.9× 11 403
Tom Leemhuis United States 10 87 0.6× 197 1.5× 275 3.4× 30 0.4× 108 1.7× 18 462
Mercedes López‐Santalla Spain 13 219 1.5× 174 1.3× 43 0.5× 88 1.2× 124 1.9× 29 512
Maëlle Latour France 9 192 1.3× 132 1.0× 39 0.5× 88 1.2× 77 1.2× 17 391
Mattia Algeri Italy 16 131 0.9× 210 1.6× 294 3.6× 66 0.9× 174 2.7× 55 685
Nicholaus Zavazava Germany 8 64 0.4× 329 2.6× 44 0.5× 153 2.0× 193 3.0× 11 634
L. Benninger United States 8 205 1.4× 168 1.3× 322 3.9× 64 0.8× 104 1.6× 21 548
F Schuening United States 13 85 0.6× 145 1.1× 241 2.9× 41 0.5× 190 2.9× 29 533
Hisanori Fujino Japan 12 91 0.6× 126 1.0× 92 1.1× 135 1.8× 155 2.4× 32 474
Anne Brignier France 10 68 0.5× 94 0.7× 68 0.8× 48 0.6× 115 1.8× 19 362

Countries citing papers authored by Christa Hackl

Since Specialization
Citations

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

Fields of papers citing papers by Christa Hackl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christa Hackl

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

All Works

8 of 8 papers shown
1.
Lindenmair, Andrea, Sylvia Nürnberger, Guido Stadler, et al.. (2014). Intact human amniotic membrane differentiated towards the chondrogenic lineage. Cell and Tissue Banking. 15(2). 213–225. 15 indexed citations
2.
Polin, Helene, et al.. (2012). On the trail of anti‐CDE to unexpected highlights of the RHD*weak 4.3 allele in the Upper Austrian population. Vox Sanguinis. 103(2). 130–136. 2 indexed citations
3.
Kronsteiner, Barbara, Susanne Wolbank, Anja Peterbauer, et al.. (2011). Human Mesenchymal Stem Cells from Adipose Tissue and Amnion Influence T-Cells Depending on Stimulation Method and Presence of Other Immune Cells. Stem Cells and Development. 20(12). 2115–2126. 136 indexed citations
4.
Stelzl, Evelyn, Johannes Pröll, Martin Danzer, et al.. (2011). Human immunodeficiency virus type 1 drug resistance testing: Evaluation of a new ultra-deep sequencing-based protocol and comparison with the TRUGENE HIV-1 Genotyping Kit. Journal of Virological Methods. 178(1-2). 94–97. 20 indexed citations
5.
Pröll, Johannes, Christa Hackl, Katja Hofer, et al.. (2011). Sequence Capture and Next Generation Resequencing of the MHC Region Highlights Potential Transplantation Determinants in HLA Identical Haematopoietic Stem Cell Transplantation. DNA Research. 18(4). 201–210. 16 indexed citations
6.
Pröll, Johannes, et al.. (2010). Overcoming methodical limits of standard RHD genotyping by next‐generation sequencing. Vox Sanguinis. 100(4). 381–388. 41 indexed citations
7.
Gabriel, Christian, Martin Danzer, Christa Hackl, et al.. (2009). Rapid high-throughput human leukocyte antigen typing by massively parallel pyrosequencing for high-resolution allele identification. Human Immunology. 70(11). 960–964. 67 indexed citations
8.
Danzer, Martin, Helene Polin, Johannes Pröll, et al.. (2009). Clinical Significance of HLA-E*0103 Homozygosity on Survival After Allogeneic Hematopoietic Stem-Cell Transplantation. Transplantation. 88(4). 528–532. 48 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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