Z Li

429 total citations
11 papers, 347 citations indexed

About

Z Li is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Z Li has authored 11 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Genetics and 2 papers in Oncology. Recurrent topics in Z Li's work include Virus-based gene therapy research (8 papers), CRISPR and Genetic Engineering (4 papers) and RNA Interference and Gene Delivery (3 papers). Z Li is often cited by papers focused on Virus-based gene therapy research (8 papers), CRISPR and Genetic Engineering (4 papers) and RNA Interference and Gene Delivery (3 papers). Z Li collaborates with scholars based in Germany, United States and Netherlands. Z Li's co-authors include Christel Baum, Brigitte Schlegelberger, Martijn H. Brugman, Anke Wahlers, Axel Schambach, Dorotheé von Laer, Olga Kustikova, Cornelia Rudolph, Christian Lindemann and Boris Fehse and has published in prestigious journals such as Oncogene, PLoS Genetics and Leukemia.

In The Last Decade

Z Li

11 papers receiving 341 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Z Li Germany	9	250	180	119	83	50	11	347
C Fahlman Norway	9	295 1.2×	225 1.3×	88 0.7×	64 0.8×	99 2.0×	12	413
S Podda United States	5	248 1.0×	212 1.2×	126 1.1×	51 0.6×	51 1.0×	8	356
M Nimgaonkar United States	7	200 0.8×	163 0.9×	103 0.9×	44 0.5×	155 3.1×	9	358
Xiao Jin Yu United States	4	329 1.3×	338 1.9×	106 0.9×	38 0.5×	54 1.1×	4	438
Anastasia Lomova United States	6	299 1.2×	144 0.8×	95 0.8×	44 0.5×	40 0.8×	6	381
Mark Enstrom United States	7	184 0.7×	113 0.6×	183 1.5×	47 0.6×	99 2.0×	15	335
Valentina Vavassori Italy	7	366 1.5×	216 1.2×	132 1.1×	47 0.6×	59 1.2×	10	448
RC Moen United States	5	263 1.1×	308 1.7×	139 1.2×	143 1.7×	129 2.6×	7	469
Joseph R. McGill United States	10	266 1.1×	69 0.4×	76 0.6×	54 0.7×	50 1.0×	18	350
Inés Avedillo Díez Germany	6	322 1.3×	338 1.9×	190 1.6×	38 0.5×	88 1.8×	6	485

Countries citing papers authored by Z Li

Since Specialization

Citations

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

Fields of papers citing papers by Z Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Z Li

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

All Works

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11 of 11 papers shown

1.

Li, Z, Meng Su, Pan Wang, et al.. (2023). mDia formins form hetero-oligomers and cooperatively maintain murine hematopoiesis. PLoS Genetics. 19(12). e1011084–e1011084. 1 indexed citations

2.

Schwarzer, Adrian, Helmut Holtmann, Martijn H. Brugman, et al.. (2014). Hyperactivation of mTORC1 and mTORC2 by multiple oncogenic events causes addiction to eIF4E-dependent mRNA translation in T-cell leukemia. Oncogene. 34(27). 3593–3604. 21 indexed citations

3.

Kustikova, Olga, Adrian Schwarzer, Martijn H. Brugman, et al.. (2012). Activation of Evi1 inhibits cell cycle progression and differentiation of hematopoietic progenitor cells. Leukemia. 27(5). 1127–1138. 54 indexed citations

4.

Modlich, Ute, Axel Schambach, Martijn H. Brugman, et al.. (2008). Leukemia induction after a single retroviral vector insertion in Evi1 or Prdm16. Leukemia. 22(8). 1519–1528. 78 indexed citations

5.

Meyer, Johann, Mathias Rhein, Bernhard Schiedlmeier, et al.. (2007). Remarkable leukemogenic potency and quality of a constitutively active neurotrophin receptor, ΔTrkA. Leukemia. 21(10). 2171–2180. 30 indexed citations

6.

Schambach, Axel, Bernhard Schiedlmeier, Klaus Kühlcke, et al.. (2006). Towards hematopoietic stem cell-mediated protection against infection with human immunodeficiency virus. Gene Therapy. 13(13). 1037–1047. 17 indexed citations

7.

Li, Z, Boris Fehse, Bernhard Schiedlmeier, et al.. (2002). Persisting multilineage transgene expression in the clonal progeny of a hematopoietic stem cell. Leukemia. 16(9). 1655–1663. 20 indexed citations

8.

Fehse, Boris, Olga Kustikova, Z Li, et al.. (2002). A novel ‘sort-suicide’ fusion gene vector for T cell manipulation. Gene Therapy. 9(23). 1633–1638. 46 indexed citations

9.

Wahlers, Anke, Maike Schwieger, Z Li, et al.. (2001). Influence of multiplicity of infection and protein stability on retroviral vector-mediated gene expression in hematopoietic cells. Gene Therapy. 8(6). 477–486. 65 indexed citations

10.

Guo, Xiaokui, et al.. (2001). High level expression of human factor VIII in mammalian cells after retroviral-mediated gene transfer.. PubMed. 114(7). 690–3. 8 indexed citations

11.

Kühlcke, Klaus, Z Li, Christian Lindemann, et al.. (2000). Retroviral transduction of T lymphocytes for suicide gene therapy in allogeneic stem cell transplantation. Bone Marrow Transplantation. 25(S2). S96–S98. 7 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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