Eva Nievergall

1.6k total citations
17 papers, 859 citations indexed

About

Eva Nievergall is a scholar working on Hematology, Molecular Biology and Genetics. According to data from OpenAlex, Eva Nievergall has authored 17 papers receiving a total of 859 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Hematology, 8 papers in Molecular Biology and 8 papers in Genetics. Recurrent topics in Eva Nievergall's work include Axon Guidance and Neuronal Signaling (8 papers), Chronic Myeloid Leukemia Treatments (8 papers) and Chronic Lymphocytic Leukemia Research (7 papers). Eva Nievergall is often cited by papers focused on Axon Guidance and Neuronal Signaling (8 papers), Chronic Myeloid Leukemia Treatments (8 papers) and Chronic Lymphocytic Leukemia Research (7 papers). Eva Nievergall collaborates with scholars based in Australia, Germany and United States. Eva Nievergall's co-authors include Martin Lackmann, Peter W. Janes, Sabine Wimmer-Kleikamp, Dimitar B. Nikolov, William A. Barton, Momchil V. Kolev, Nayanendu Saha, Juha‐Pekka Himanen, Carl Blobel and Timothy P. Hughes and has published in prestigious journals such as Cell, The Journal of Cell Biology and Blood.

In The Last Decade

Eva Nievergall

16 papers receiving 852 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eva Nievergall Australia 10 479 420 252 176 106 17 859
Ze’ev Gechtman Israel 11 655 1.4× 290 0.7× 119 0.5× 300 1.7× 127 1.2× 14 924
Breann L. Wolfe United States 5 411 0.9× 119 0.3× 168 0.7× 54 0.3× 191 1.8× 6 654
Beatrix Böhme Germany 8 497 1.0× 220 0.5× 322 1.3× 189 1.1× 31 0.3× 9 728
David J. Easty United Kingdom 16 767 1.6× 223 0.5× 321 1.3× 241 1.4× 20 0.2× 34 1.1k
Francesca Caccavari Italy 7 690 1.4× 523 1.2× 346 1.4× 157 0.9× 21 0.2× 8 949
Sílvia Coma United States 13 489 1.0× 141 0.3× 101 0.4× 276 1.6× 40 0.4× 38 857
John Gooya United States 16 448 0.9× 144 0.3× 90 0.4× 237 1.3× 197 1.9× 25 779
Uwe Schlomann Germany 17 466 1.0× 102 0.2× 115 0.5× 307 1.7× 48 0.5× 28 945
Chana Weiss Israel 6 739 1.5× 539 1.3× 343 1.4× 118 0.7× 19 0.2× 6 959
Bo Cen United States 17 822 1.7× 156 0.4× 117 0.5× 497 2.8× 53 0.5× 22 1.3k

Countries citing papers authored by Eva Nievergall

Since Specialization
Citations

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

Fields of papers citing papers by Eva Nievergall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eva Nievergall

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

All Works

17 of 17 papers shown
1.
Paczulla, Anna, Kathrin Rothfelder, Simon Raffel, et al.. (2018). Absence of NKG2D Ligands Defines Human Acute Myeloid Leukaemia Stem Cells and Mediates Their Immune Evasion. Blood. 132(Supplement 1). 769–769. 2 indexed citations
2.
Nievergall, Eva, John Reynolds, Chung Hoow Kok, et al.. (2016). TGF-α and IL-6 plasma levels selectively identify CML patients who fail to achieve an early molecular response or progress in the first year of therapy. Leukemia. 30(6). 1263–1272. 38 indexed citations
3.
Mansour, Mariam, Eva Nievergall, Kristina Gegenbauer, et al.. (2015). PTP-PEST controls EphA3 activation and ephrin-induced cytoskeletal remodelling. Journal of Cell Science. 129(2). 277–89. 9 indexed citations
4.
Nievergall, Eva, et al.. (2014). Sustained inhibition of STAT5, but not JAK2, is essential for TKI-induced cell death in chronic myeloid leukemia. Leukemia. 29(1). 76–85. 25 indexed citations
5.
Nievergall, Eva, John Reynolds, Chung Hoow Kok, et al.. (2014). High Plasma Levels of TGF-α and IL-6 at Diagnosis Predict Early Molecular Response Failure and Transformation in CML. Blood. 124(21). 1788–1788.
6.
Nievergall, Eva, Hayley S. Ramshaw, Agnes S. M. Yong, et al.. (2013). Monoclonal antibody targeting of IL-3 receptor α with CSL362 effectively depletes CML progenitor and stem cells. Blood. 123(8). 1218–1228. 79 indexed citations
7.
Hiwase, Devendra, et al.. (2012). Dasatinib targets chronic myeloid leukemia-CD34+ progenitors as effectively as it targets mature cells. Haematologica. 98(6). 896–900. 9 indexed citations
8.
Janes, Peter W., Eva Nievergall, & Martin Lackmann. (2012). Concepts and consequences of Eph receptor clustering. Seminars in Cell and Developmental Biology. 23(1). 43–50. 76 indexed citations
9.
Nievergall, Eva, Thomas L. Saunders, & Martin Lackmann. (2012). Targeting of EPH Receptor Tyrosine Kinases for Anticancer Therapy. Critical Reviews™ in Oncogenesis. 17(2). 211–232. 9 indexed citations
10.
Nievergall, Eva, et al.. (2012). Commitment of CML Cells to Apoptotic Cell Death Depends On the Length of Exposure to Das and the Level of STAT5 Activity. Blood. 120(21). 3736–3736. 3 indexed citations
11.
Nievergall, Eva, Deborah L. White, Agnes S. M. Yong, et al.. (2012). Effective Elimination of CML Progenitor and Stem Cells Through Combination of α-CD123 Antibody-Dependent Cell-Mediated Cytotoxicity and Tyrosine Kinase Inhibitor Treatment. Blood. 120(21). 32–32. 1 indexed citations
12.
Janes, Peter W., Lakmali Atapattu, Eva Nievergall, et al.. (2011). Eph receptor function is modulated by heterooligomerization of A and B type Eph receptors. The Journal of Cell Biology. 195(6). 1033–1045. 75 indexed citations
13.
Nievergall, Eva, Martin Lackmann, & Peter W. Janes. (2011). Eph-dependent cell-cell adhesion and segregation in development and cancer. Cellular and Molecular Life Sciences. 69(11). 1813–1842. 80 indexed citations
14.
Nievergall, Eva, Deborah L. White, Hayley S. Ramshaw, et al.. (2011). Antibody-Targeting of IL-3 Receptor-α Increases the Susceptibility of CD34+ CML Progenitors to Dasatinib-Induced Cell Death,. Blood. 118(21). 3745–3745. 1 indexed citations
15.
Nievergall, Eva, Peter W. Janes, Mary E. Vail, et al.. (2010). PTP1B regulates Eph receptor function and trafficking. The Journal of Cell Biology. 191(6). 1189–1203. 55 indexed citations
16.
Wimmer-Kleikamp, Sabine, Eva Nievergall, Kristina Gegenbauer, et al.. (2008). Elevated protein tyrosine phosphatase activity provokes Eph/ephrin-facilitated adhesion of pre-B leukemia cells. Blood. 112(3). 721–732. 46 indexed citations
17.
Janes, Peter W., Nayanendu Saha, William A. Barton, et al.. (2005). Adam Meets Eph: An ADAM Substrate Recognition Module Acts as a Molecular Switch for Ephrin Cleavage In trans. Cell. 123(2). 291–304. 351 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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