Tim Hatlapatka

404 total citations
8 papers, 320 citations indexed

About

Tim Hatlapatka is a scholar working on Genetics, Surgery and Biomaterials. According to data from OpenAlex, Tim Hatlapatka has authored 8 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Genetics, 4 papers in Surgery and 3 papers in Biomaterials. Recurrent topics in Tim Hatlapatka's work include Mesenchymal stem cell research (8 papers), Tissue Engineering and Regenerative Medicine (4 papers) and Hematopoietic Stem Cell Transplantation (3 papers). Tim Hatlapatka is often cited by papers focused on Mesenchymal stem cell research (8 papers), Tissue Engineering and Regenerative Medicine (4 papers) and Hematopoietic Stem Cell Transplantation (3 papers). Tim Hatlapatka collaborates with scholars based in Germany and Austria. Tim Hatlapatka's co-authors include Cornelia Kasper, Ralf Hass, Antonina Lavrentieva, Roland Jacobs, Nicole Marquardt, Pierre Moretti, Susanne Wolbank, Andrea Lindenmair, Christian Gabriel and Simone Hennerbichler and has published in prestigious journals such as Frontiers in Immunology, Cells and Cell Communication and Signaling.

In The Last Decade

Tim Hatlapatka

7 papers receiving 312 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tim Hatlapatka Germany	6	235	149	74	56	41	8	320
R. A. Musina Russia	6	254 1.1×	163 1.1×	118 1.6×	45 0.8×	44 1.1×	8	375
Sabine Schu Ireland	3	221 0.9×	122 0.8×	119 1.6×	39 0.7×	36 0.9×	4	318
Matthew Cook Australia	4	216 0.9×	110 0.7×	97 1.3×	36 0.6×	28 0.7×	6	327
Jorge Saá Spain	6	257 1.1×	139 0.9×	129 1.7×	50 0.9×	25 0.6×	7	417
Sanga Gehmert Germany	9	212 0.9×	164 1.1×	106 1.4×	69 1.2×	23 0.6×	10	413
Celena Heazlewood Australia	5	250 1.1×	162 1.1×	124 1.7×	62 1.1×	22 0.5×	6	401
Qiling He United Kingdom	5	278 1.2×	141 0.9×	104 1.4×	49 0.9×	21 0.5×	8	404
Hugo Drago Argentina	9	284 1.2×	145 1.0×	124 1.7×	59 1.1×	45 1.1×	10	495
Maria-Christina Kastrinaki Greece	12	311 1.3×	123 0.8×	155 2.1×	44 0.8×	59 1.4×	17	528
Hatixhe Latifi-Pupovci Kosovo	7	188 0.8×	108 0.7×	81 1.1×	44 0.8×	21 0.5×	15	338

Countries citing papers authored by Tim Hatlapatka

Since Specialization

Citations

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

Fields of papers citing papers by Tim Hatlapatka

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tim Hatlapatka

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

All Works

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8 of 8 papers shown

1.

Chatterjee, Debanjana, Nicole Marquardt, Dejene M. Tufa, et al.. (2014). Human Umbilical Cord-Derived Mesenchymal Stem Cells Utilize Activin-A to Suppress Interferon-Î³ Production by Natural Killer Cells. Frontiers in Immunology. 5. 662–662. 46 indexed citations

2.

Chatterjee, Debanjana, Nicole Marquardt, Dejene M. Tufa, et al.. (2014). Role of gamma-secretase in human umbilical-cord derived mesenchymal stem cell mediated suppression of NK cell cytotoxicity. Cell Communication and Signaling. 12(1). 63–63.

3.

Chatterjee, Debanjana, Nicole Marquardt, Dejene M. Tufa, et al.. (2014). Role of gamma-secretase in human umbilical-cord derived mesenchymal stem cell mediated suppression of NK cell cytotoxicity. Cell Communication and Signaling. 12(1). 63–63. 40 indexed citations

4.

Neumann, Anne, Antonina Lavrentieva, Dominik Egger, Tim Hatlapatka, & Cornelia Kasper. (2013). Approaches for automized expansion and differentiation of human MSC in specialized bioreactors. BMC Proceedings. 7(S6). 2 indexed citations

5.

Lavrentieva, Antonina, Tim Hatlapatka, Anne Neumann, Birgit Weyand, & Cornelia Kasper. (2012). Potential for Osteogenic and Chondrogenic Differentiation of MSC. Advances in biochemical engineering, biotechnology. 129. 73–88. 28 indexed citations

6.

Lindenmair, Andrea, Tim Hatlapatka, Simone Hennerbichler, et al.. (2012). Mesenchymal Stem or Stromal Cells from Amnion and Umbilical Cord Tissue and Their Potential for Clinical Applications. Cells. 1(4). 1061–1088. 93 indexed citations

7.

Hatlapatka, Tim, Pierre Moretti, Antonina Lavrentieva, et al.. (2010). Optimization of Culture Conditions for the Expansion of Umbilical Cord-Derived Mesenchymal Stem or Stromal Cell-Like Cells Using Xeno-Free Culture Conditions. Tissue Engineering Part C Methods. 17(4). 485–493. 55 indexed citations

8.

Moretti, Pierre, Tim Hatlapatka, Antonina Lavrentieva, et al.. (2009). Mesenchymal Stromal Cells Derived from Human Umbilical Cord Tissues: Primitive Cells with Potential for Clinical and Tissue Engineering Applications. PubMed. 123. 29–54. 56 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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