SF Ziegler

701 total citations
13 papers, 605 citations indexed

About

SF Ziegler is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, SF Ziegler has authored 13 papers receiving a total of 605 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Immunology, 4 papers in Oncology and 3 papers in Molecular Biology. Recurrent topics in SF Ziegler's work include Immune Cell Function and Interaction (5 papers), Immune Response and Inflammation (5 papers) and T-cell and B-cell Immunology (4 papers). SF Ziegler is often cited by papers focused on Immune Cell Function and Interaction (5 papers), Immune Response and Inflammation (5 papers) and T-cell and B-cell Immunology (4 papers). SF Ziegler collaborates with scholars based in United States, Canada and Australia. SF Ziegler's co-authors include JE Layton, Ulrike Novak, David P. Gearing, Heinz Baumann, Karen K. Morella, Heinz Baumann, Neal G. Copeland, Nancy A. Jenkins, L Johnson and Elizabeth Baker and has published in prestigious journals such as Journal of Biological Chemistry, Blood and The Journal of Immunology.

In The Last Decade

SF Ziegler

13 papers receiving 589 citations

Peers

SF Ziegler

IMMUN

ONCOL

MB

GENET

HEMAT

Hiromoto Mizoguchi Japan

Hayrettin Guvén Sweden

Donatella Buonfiglio Italy

Masaharu Hatakeyama Japan

J D Mountz United States

E L Reinherz United States

Sarah Pogue United States

Christina Lutz‐Nicoladoni Austria

John C. Scatizzi United States

Christopher Eichman United States

Hiromoto Mizoguchi Japan

SF Ziegler

517 ×1.3

IMMUN

271 ×0.9

ONCOL

163 ×1.2

MB

45 ×0.5

GENET

36 ×0.5

HEMAT

Citations per year, relative to SF Ziegler SF Ziegler (= 1×) peers Hiromoto Mizoguchi

Countries citing papers authored by SF Ziegler

Since Specialization

Citations

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

Fields of papers citing papers by SF Ziegler

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of SF Ziegler

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

All Works

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13 of 13 papers shown

1.

Du, Junfeng, Chiou‐Jye Huang, Baohua Zhou, & SF Ziegler. (2009). Isoform-specific inhibition of RORα-mediated transcriptional activation by human FOXP3. The Journal of Immunology. 182(6). 3937–3937. 21 indexed citations

2.

Novak, Ulrike, et al.. (1995). Distinct regions of the granulocyte colony-stimulating factor receptor are required for tyrosine phosphorylation of the signaling molecules JAK2, Stat3, and p42, p44MAPK. Blood. 86(10). 3698–3704. 139 indexed citations

3.

Ziegler, SF, et al.. (1995). Granulocyte colony-stimulating factor rapidly activates a distinct STAT- like protein in normal myeloid cells. Blood. 86(12). 4409–4416. 72 indexed citations

4.

Baumann, Heinz, et al.. (1994). Multiple regions within the cytoplasmic domains of the leukemia inhibitory factor receptor and gp130 cooperate in signal transduction in hepatic and neuronal cells.. Molecular and Cellular Biology. 14(1). 138–146. 50 indexed citations

5.

Ziegler, SF, Steven D. Levin, L Johnson, et al.. (1994). The mouse CD69 gene. Structure, expression, and mapping to the NK gene complex.. The Journal of Immunology. 152(3). 1228–1236. 112 indexed citations

6.

Baumann, Heinz, David P. Gearing, & SF Ziegler. (1994). Signaling by the cytoplasmic domain of hematopoietin receptors involves two distinguishable mechanisms in hepatic cells.. Journal of Biological Chemistry. 269(23). 16297–16304. 35 indexed citations

7.

Ziegler, SF, et al.. (1993). Identification of a distinct low-affinity receptor for human interleukin-4 on pre-B cells. Blood. 81(11). 2998–3005. 1 indexed citations

8.

Ziegler, SF, et al.. (1993). Identification of a distinct low-affinity receptor for human interleukin-4 on pre-B cells. Blood. 81(11). 2998–3005. 32 indexed citations

9.

Ziegler, SF, et al.. (1993). Distinct regions of the human granulocyte-colony-stimulating factor receptor cytoplasmic domain are required for proliferation and gene induction.. Molecular and Cellular Biology. 13(4). 2384–2390. 66 indexed citations

10.

Armitage, RJ, et al.. (1992). Identification of a novel low-affinity receptor for human interleukin-7. Blood. 79(7). 1738–1745. 27 indexed citations

11.

Armitage, RJ, et al.. (1992). Identification of a novel low-affinity receptor for human interleukin-7. Blood. 79(7). 1738–1745. 3 indexed citations

12.

Willman, CL, et al.. (1991). Expression of the c-fgr and hck protein-tyrosine kinases in acute myeloid leukemic blasts is associated with early commitment and differentiation events in the monocytic and granulocytic lineages. Blood. 77(4). 726–734. 3 indexed citations

13.

Willman, CL, et al.. (1991). Expression of the c-fgr and hck protein-tyrosine kinases in acute myeloid leukemic blasts is associated with early commitment and differentiation events in the monocytic and granulocytic lineages. Blood. 77(4). 726–734. 44 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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