Kerry Sieger

916 total citations
9 papers, 775 citations indexed

About

Kerry Sieger is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Kerry Sieger has authored 9 papers receiving a total of 775 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Oncology and 3 papers in Immunology. Recurrent topics in Kerry Sieger's work include Cytokine Signaling Pathways and Interactions (3 papers), Virus-based gene therapy research (2 papers) and Ubiquitin and proteasome pathways (2 papers). Kerry Sieger is often cited by papers focused on Cytokine Signaling Pathways and Interactions (3 papers), Virus-based gene therapy research (2 papers) and Ubiquitin and proteasome pathways (2 papers). Kerry Sieger collaborates with scholars based in United States, Netherlands and United Kingdom. Kerry Sieger's co-authors include Abner M. Mhashilkar, Sunil Chada, Rajagopal Ramesh, Alexis Stewart, Elizabeth A. Grimm, Cynthia D. Branch, Yuji Saito, Tomoyuki Saeki, Raymond E. Meyn and Jack A. Roth and has published in prestigious journals such as The Journal of Immunology, Molecular and Cellular Biology and Oncogene.

In The Last Decade

Kerry Sieger

9 papers receiving 766 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kerry Sieger United States	9	437	362	358	246	128	9	775
D Chen United States	11	300 0.7×	560 1.5×	311 0.9×	225 0.9×	69 0.5×	13	898
Patrice S. Obermiller United States	10	221 0.5×	720 2.0×	496 1.4×	136 0.6×	22 0.2×	11	991
Eva G. Caudell United States	7	192 0.4×	177 0.5×	121 0.3×	217 0.9×	45 0.4×	7	523
Janet E. Price United States	9	286 0.7×	294 0.8×	60 0.2×	109 0.4×	62 0.5×	9	564
Frédéric Princen Belgium	12	174 0.4×	524 1.4×	121 0.3×	200 0.8×	27 0.2×	15	655
Jinfa Gu China	16	291 0.7×	552 1.5×	417 1.2×	103 0.4×	165 1.3×	33	809
Rosetta Martiniello‐Wilks Australia	16	132 0.3×	369 1.0×	287 0.8×	66 0.3×	79 0.6×	31	593
Maren Mundt Germany	4	409 0.9×	276 0.8×	113 0.3×	174 0.7×	17 0.1×	5	608
Chaeyong Jung United States	14	129 0.3×	475 1.3×	216 0.6×	49 0.2×	34 0.3×	19	653
Ewa Kruzel United States	5	549 1.3×	706 2.0×	48 0.1×	208 0.8×	144 1.1×	8	968

Countries citing papers authored by Kerry Sieger

Since Specialization

Citations

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

Fields of papers citing papers by Kerry Sieger

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kerry Sieger

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

All Works

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9 of 9 papers shown

Sieger, Kerry, Abner M. Mhashilkar, Alexis Stewart, et al.. (2004). The Tumor Suppressor Activity of MDA-7/IL-24 Is Mediated by Intracellular Protein Expression in NSCLC Cells. Molecular Therapy. 9(3). 355–367. 70 indexed citations

Aggarwal, Sita, Yasunari Takada, Abner M. Mhashilkar, et al.. (2004). Melanoma Differentiation-Associated Gene-7/IL-24 Gene Enhances NF-κB Activation and Suppresses Apoptosis Induced by TNF. The Journal of Immunology. 173(7). 4368–4376. 21 indexed citations

Ramesh, Rajagopal, Abner M. Mhashilkar, Fumihiro Tanaka, et al.. (2003). Melanoma differentiation-associated gene 7/interleukin (IL)-24 is a novel ligand that regulates angiogenesis via the IL-22 receptor.. PubMed. 63(16). 5105–13. 160 indexed citations

Mhashilkar, Abner M., Alexis Stewart, Kerry Sieger, et al.. (2003). MDA-7 negatively regulates the β-catenin and PI3K signaling pathways in breast and lung tumor cells. Molecular Therapy. 8(2). 207–219. 78 indexed citations

Saeki, Tomoyuki, Abner M. Mhashilkar, Kerry Sieger, et al.. (2002). Inhibition of human lung cancer growth following adenovirus-mediated mda-7 gene expression in vivo. Oncogene. 21(29). 4558–4566. 127 indexed citations

Stewart, Alexis, Abner M. Mhashilkar, Xiaohong Yang, et al.. (2002). PI3K Blockade by Ad-PTEN Inhibits Invasion and Induces Apoptosis in Radial Growth Phase and Metastatic Melanoma Cells. Molecular Medicine. 8(8). 451–461. 68 indexed citations

Mhashilkar, Abner M., Robert D. Schrock, Jennifer Liao, et al.. (2001). Melanoma Differentiation Associated Gene-7 (mda-7): A Novel Anti-Tumor Gene for Cancer Gene Therapy. Molecular Medicine. 7(4). 271–282. 143 indexed citations

Lawlor, Margaret A., et al.. (2000). Dual Control of Muscle Cell Survival by Distinct Growth Factor-Regulated Signaling Pathways. Molecular and Cellular Biology. 20(9). 3256–3265. 65 indexed citations

Stevens, Anne M., et al.. (1995). Biphasic transcriptional regulation of the interferon regulatory factor-1 gene by prolactin: involvement of gamma-interferon-activated sequence and Stat-related proteins.. Molecular Endocrinology. 9(4). 513–525. 43 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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