Tanja Stahl

555 total citations
8 papers, 380 citations indexed

About

Tanja Stahl is a scholar working on Hematology, Immunology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Tanja Stahl has authored 8 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Hematology, 4 papers in Immunology and 3 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Tanja Stahl's work include Hematopoietic Stem Cell Transplantation (5 papers), Prenatal Screening and Diagnostics (3 papers) and Immunotherapy and Immune Responses (3 papers). Tanja Stahl is often cited by papers focused on Hematopoietic Stem Cell Transplantation (5 papers), Prenatal Screening and Diagnostics (3 papers) and Immunotherapy and Immune Responses (3 papers). Tanja Stahl collaborates with scholars based in Germany and Russia. Tanja Stahl's co-authors include Nicolaus Kröger, Boris Fehse, York Hildebrandt, Katrin Bartels, Carsten Bokemeyer, Tim Luetkens, Djordje Atanackovic, Yan Cao, Nicolaus Kröger and Axel R. Zander and has published in prestigious journals such as Blood, Clinical Cancer Research and International Journal of Molecular Sciences.

In The Last Decade

Tanja Stahl

8 papers receiving 372 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tanja Stahl Germany	7	196	160	150	116	55	8	380
Heide Dierbach Germany	10	223 1.1×	149 0.9×	142 0.9×	82 0.7×	61 1.1×	10	413
Miguel Waterhouse Germany	13	86 0.4×	226 1.4×	95 0.6×	70 0.6×	85 1.5×	29	356
Matthew T. Witkowski United States	13	105 0.5×	151 0.9×	241 1.6×	149 1.3×	64 1.2×	27	493
Bertrand Montpellier France	6	163 0.8×	116 0.7×	209 1.4×	143 1.2×	60 1.1×	9	506
Emmanuel J. Volanakis United States	9	275 1.4×	77 0.5×	183 1.2×	71 0.6×	83 1.5×	15	499
Gregor von Levetzow United States	6	101 0.5×	132 0.8×	212 1.4×	75 0.6×	39 0.7×	8	446
Sebastian Ginzel Germany	11	186 0.9×	61 0.4×	77 0.5×	85 0.7×	40 0.7×	16	331
Shahrzad Bakhtiar Germany	14	191 1.0×	127 0.8×	82 0.5×	81 0.7×	32 0.6×	27	342
A. W. Langerak Netherlands	9	116 0.6×	169 1.1×	151 1.0×	116 1.0×	42 0.8×	13	462
Alya Zriwil Sweden	8	302 1.5×	129 0.8×	209 1.4×	61 0.5×	80 1.5×	9	518

Countries citing papers authored by Tanja Stahl

Since Specialization

Citations

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

Fields of papers citing papers by Tanja Stahl

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tanja Stahl

This figure shows the co-authorship network connecting the top 25 collaborators of Tanja Stahl. A scholar is included among the top collaborators of Tanja Stahl 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 Tanja Stahl. Tanja Stahl 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.

Stahl, Tanja, et al.. (2016). Digital PCR Panel for Sensitive Hematopoietic Chimerism Quantification after Allogeneic Stem Cell Transplantation. International Journal of Molecular Sciences. 17(9). 1515–1515. 28 indexed citations

2.

Stahl, Tanja, et al.. (2015). Digital PCR to assess hematopoietic chimerism after allogeneic stem cell transplantation. Experimental Hematology. 43(6). 462–468.e1. 64 indexed citations

3.

Stahl, Tanja, Friederike Gieseke, Thomas Binder, et al.. (2014). Fetomaternal Microchimerism Is Associated with Better Outcome in Haploidentical Hematopoietic Stem Cell Transplantation. Blood. 124(21). 1242–1242. 2 indexed citations

4.

Klyuchnikov, Evgeny, Nicolaus Kröger, Tatjana Zabelina, et al.. (2010). Chimerism studies with quantitative real-time PCR in stem cell recipients with acute myeloid leukemia. Experimental Hematology. 38(12). 1261–1271. 29 indexed citations

5.

Stahl, Tanja, Anita Badbaran, Nicolaus Kröger, et al.. (2010). Minimal residual disease diagnostics in patients with acute myeloid leukemia in the post-transplant period: comparison of peripheral blood and bone marrow analysis. Leukemia & lymphoma. 51(10). 1837–1843. 18 indexed citations

6.

Atanackovic, Djordje, York Hildebrandt, Yan Cao, et al.. (2009). Cancer-testis antigens MAGE-C1/CT7 and MAGE-A3 promote the survival of multiple myeloma cells. Haematologica. 95(5). 785–793. 79 indexed citations

7.

Atanackovic, Djordje, Tim Luetkens, York Hildebrandt, et al.. (2009). Longitudinal Analysis and Prognostic Effect of Cancer-Testis Antigen Expression in Multiple Myeloma. Clinical Cancer Research. 15(4). 1343–1352. 60 indexed citations

8.

Panse, Jens, Kay Friedrichs, Alexander Marx, et al.. (2008). Chemokine CXCL13 is overexpressed in the tumour tissue and in the peripheral blood of breast cancer patients. British Journal of Cancer. 99(6). 930–938. 100 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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