Nina G. Steele

3.2k total citations
28 papers, 811 citations indexed

About

Nina G. Steele is a scholar working on Oncology, Molecular Biology and Immunology. According to data from OpenAlex, Nina G. Steele has authored 28 papers receiving a total of 811 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Oncology, 10 papers in Molecular Biology and 8 papers in Immunology. Recurrent topics in Nina G. Steele's work include Pancreatic and Hepatic Oncology Research (12 papers), Cancer Immunotherapy and Biomarkers (6 papers) and Immune cells in cancer (6 papers). Nina G. Steele is often cited by papers focused on Pancreatic and Hepatic Oncology Research (12 papers), Cancer Immunotherapy and Biomarkers (6 papers) and Immune cells in cancer (6 papers). Nina G. Steele collaborates with scholars based in United States, Australia and Singapore. Nina G. Steele's co-authors include Jayati Chakrabarti, Loryn Holokai, Julie Chang, Yana Zavros, Yana Zavros, Syed A. Ahmed, Jiang Wang, Li-Jyun Syu, Jennifer Hawkins and Michael A. Helmrath and has published in prestigious journals such as Nucleic Acids Research, Cancer Research and Oncogene.

In The Last Decade

Nina G. Steele

26 papers receiving 807 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nina G. Steele United States 13 472 276 220 176 141 28 811
Qingyang Lei China 8 441 0.9× 333 1.2× 392 1.8× 225 1.3× 77 0.5× 15 852
Nina Linde Germany 10 452 1.0× 346 1.3× 379 1.7× 160 0.9× 118 0.8× 17 884
Xiubao Ren China 16 685 1.5× 378 1.4× 358 1.6× 216 1.2× 50 0.4× 42 1.0k
Yuze Hua China 6 301 0.6× 317 1.1× 211 1.0× 216 1.2× 101 0.7× 14 670
Cecilia Monge United States 8 393 0.8× 355 1.3× 128 0.6× 220 1.3× 51 0.4× 30 745
Suprit Gupta United States 9 462 1.0× 525 1.9× 402 1.8× 222 1.3× 85 0.6× 13 1.2k
Vivien Koh Singapore 10 403 0.9× 182 0.7× 271 1.2× 89 0.5× 53 0.4× 14 641
Sandro Nuciforo Switzerland 13 366 0.8× 389 1.4× 84 0.4× 236 1.3× 307 2.2× 17 1.0k
Magali Castells France 9 254 0.5× 279 1.0× 223 1.0× 203 1.2× 52 0.4× 9 723

Countries citing papers authored by Nina G. Steele

Since Specialization
Citations

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

Fields of papers citing papers by Nina G. Steele

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nina G. Steele. 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 Nina G. Steele. The network helps show where Nina G. Steele may publish in the future.

Co-authorship network of co-authors of Nina G. Steele

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

All Works

20 of 20 papers shown
1.
2.
Nwosu, Zeribe C., Rosa E. Menjivar, Dae-Ho Kim, et al.. (2025). Multidimensional analyses identify genes of high priority for pancreatic cancer research. JCI Insight. 10(4). 3 indexed citations
3.
Hoffman, Megan T., Daniel Long, Brittany L. Allen-Petersen, et al.. (2024). Tuft cells transdifferentiate to neural-like progenitor cells in the progression of pancreatic cancer. Developmental Cell. 60(6). 837–852.e3. 5 indexed citations
4.
Clark, Julie, Rupen Shah, David Kwon, et al.. (2024). Abstract C107: Use of spatial transcriptomics to identify molecular features associated with African American heritage in pancreatic cancer. Cancer Research. 84(2_Supplement). C107–C107. 1 indexed citations
5.
Attwood, Kristopher, Janusz Franco‐Barraza, Mukund Seshadri, et al.. (2023). Lorazepam Stimulates IL6 Production and Is Associated with Poor Survival Outcomes in Pancreatic Cancer. Clinical Cancer Research. 29(18). 3793–3812. 21 indexed citations
6.
Menjivar, Rosa E., Nina G. Steele, Samantha B. Kemp, et al.. (2023). Notch Signaling Regulates Immunosuppressive Tumor-Associated Macrophage Function in Pancreatic Cancer. Cancer Immunology Research. 12(1). 91–106. 21 indexed citations
7.
Magnuson, Brian, Nina G. Steele, Carlos E. Espinoza, et al.. (2023). Modeling Molecular Pathogenesis of Idiopathic Pulmonary Fibrosis-Associated Lung Cancer in Mice. Molecular Cancer Research. 22(3). 295–307. 2 indexed citations
8.
9.
Scales, Michael K., Ashley Velez-Delgado, Nina G. Steele, et al.. (2022). Combinatorial Gli activity directs immune infiltration and tumor growth in pancreatic cancer. PLoS Genetics. 18(7). e1010315–e1010315. 18 indexed citations
10.
Kemp, Samantha B., Eileen S. Carpenter, Nina G. Steele, et al.. (2021). Apolipoprotein E Promotes Immune Suppression in Pancreatic Cancer through NF-κB–Mediated Production of CXCL1. Cancer Research. 81(16). 4305–4318. 112 indexed citations
11.
Velez-Delgado, Ashley, Katelyn L. Donahue, Kristee Brown, et al.. (2021). Abstract PR-016: Extrinsic KRAS signaling shapes the pancreatic microenvironment through fibroblast reprogramming. Cancer Research. 81(22_Supplement). PR–16. 1 indexed citations
12.
Steele, Nina G., et al.. (2021). Modeling pancreatic pathophysiology using genome editing of adult stem cell-derived and induced pluripotent stem cell (iPSC)-derived organoids. American Journal of Physiology-Gastrointestinal and Liver Physiology. 320(6). G1142–G1150. 6 indexed citations
13.
Koh, Vivien, Jayati Chakrabarti, Nina G. Steele, et al.. (2021). Hedgehog transcriptional effector GLI mediates mTOR-Induced PD-L1 expression in gastric cancer organoids. Cancer Letters. 518. 59–71. 117 indexed citations
14.
Borrello, María Teresa, et al.. (2021). Loss of activating transcription factor 3 prevents KRAS-mediated pancreatic cancer. Oncogene. 40(17). 3118–3135. 21 indexed citations
15.
Keilberg, Daniela, Nina G. Steele, Sili Fan, et al.. (2020). Gastric Metabolomics Detects Helicobacter pylori Correlated Loss of Numerous Metabolites in Both the Corpus and Antrum. Infection and Immunity. 89(2). 11 indexed citations
16.
Steele, Nina G., et al.. (2020). Beta 1 integrin signaling mediates pancreatic ductal adenocarcinoma resistance to MEK inhibition. Scientific Reports. 10(1). 11133–11133. 12 indexed citations
17.
Hoffman, Megan T., Samantha B. Kemp, Yaqing Zhang, et al.. (2020). The Gustatory Sensory G-Protein GNAT3 Suppresses Pancreatic Cancer Progression in Mice. Cellular and Molecular Gastroenterology and Hepatology. 11(2). 349–369. 25 indexed citations
18.
Steele, Nina G., Jayati Chakrabarti, Jiang Wang, et al.. (2018). An Organoid-Based Preclinical Model of Human Gastric Cancer. Cellular and Molecular Gastroenterology and Hepatology. 7(1). 161–184. 109 indexed citations
19.
Chakrabarti, Jayati, Loryn Holokai, Li-Jyun Syu, et al.. (2018). Mouse-Derived Gastric Organoid and Immune Cell Co-culture for the Study of the Tumor Microenvironment. Methods in molecular biology. 1817. 157–168. 47 indexed citations
20.
Steele, Nina G., et al.. (2018). Mouse- and Human-derived Primary Gastric Epithelial Monolayer Culture for the Study of Regeneration. Journal of Visualized Experiments. 6 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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