Jordan Moore

710 total citations
9 papers, 320 citations indexed

About

Jordan Moore is a scholar working on Immunology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Jordan Moore has authored 9 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Immunology, 3 papers in Molecular Biology and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Jordan Moore's work include Immune cells in cancer (4 papers), Cancer Cells and Metastasis (2 papers) and Neuroscience and Neural Engineering (1 paper). Jordan Moore is often cited by papers focused on Immune cells in cancer (4 papers), Cancer Cells and Metastasis (2 papers) and Neuroscience and Neural Engineering (1 paper). Jordan Moore collaborates with scholars based in United States, Australia and France. Jordan Moore's co-authors include Michael H. Sieweke, Stephen L. Nutt, Sandrine Sarrazin, E. Richard Stanley, Prashanth K. Kandalla, Noushin Mossadegh‐Keller, Léon Espinosa, Daniel Gallego‐Perez, Silvia Duarte‐Sanmiguel and Natalia Higuita‐Castro and has published in prestigious journals such as Nature, Scientific Reports and eLife.

In The Last Decade

Jordan Moore

8 papers receiving 319 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jordan Moore United States	6	192	133	87	42	26	9	320
Nader Atlasy Netherlands	6	156 0.8×	100 0.8×	24 0.3×	38 0.9×	24 0.9×	8	319
Katharina Mattenheimer Germany	8	140 0.7×	74 0.6×	53 0.6×	90 2.1×	28 1.1×	10	271
Martha Lopez‐Yrigoyen United Kingdom	7	173 0.9×	166 1.2×	33 0.4×	74 1.8×	36 1.4×	10	337
Chen‐Yi Lai Japan	8	135 0.7×	151 1.1×	136 1.6×	97 2.3×	21 0.8×	11	385
Dan Duan China	7	110 0.6×	165 1.2×	19 0.2×	43 1.0×	32 1.2×	12	320
Hila Shaim United States	10	222 1.2×	73 0.5×	80 0.9×	131 3.1×	22 0.8×	19	360
Bojan Vilagos Austria	7	247 1.3×	164 1.2×	50 0.6×	60 1.4×	32 1.2×	8	425
Olga Klimenkova Germany	7	150 0.8×	153 1.2×	31 0.4×	92 2.2×	22 0.8×	14	388
Grace Shih United States	8	131 0.7×	102 0.8×	24 0.3×	43 1.0×	22 0.8×	10	328

Countries citing papers authored by Jordan Moore

Since Specialization

Citations

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

Fields of papers citing papers by Jordan Moore

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jordan Moore

This figure shows the co-authorship network connecting the top 25 collaborators of Jordan Moore. A scholar is included among the top collaborators of Jordan Moore 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 Jordan Moore. Jordan Moore 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

Moore, Jordan, et al.. (2024). Unlocking the power of virtual networking for early-career researchers. eLife. 13. 1 indexed citations

Vidal, Pablo, Jordan Moore, Jed Johnson, et al.. (2023). Injectable pulverized electrospun poly(lactic‐co‐glycolic acid) fibers improve human adipose tissue engraftment and volume retention. Journal of Biomedical Materials Research Part A. 111(11). 1722–1733.

Hannawi, Yousef, Mohamed G. Ewees, Jordan Moore, & Jay L. Zweíer. (2022). Characterizing CD38 Expression and Enzymatic Activity in the Brain of Spontaneously Hypertensive Stroke-Prone Rats. Frontiers in Pharmacology. 13. 881708–881708. 9 indexed citations

Duarte‐Sanmiguel, Silvia, Jordan Moore, Aleksander Skardal, et al.. (2021). In Situ Deployment of Engineered Extracellular Vesicles into the Tumor Niche via Myeloid‐Derived Suppressor Cells. Advanced Healthcare Materials. 11(5). e2101619–e2101619. 17 indexed citations

Duarte‐Sanmiguel, Silvia, Vasudha Shukla, Brooke Benner, et al.. (2020). Guided migration analyses at the single-clone level uncover cellular targets of interest in tumor-associated myeloid-derived suppressor cell populations. Scientific Reports. 10(1). 1189–1189. 7 indexed citations

Moore, Jordan, Ian L. Valerio, Heather M. Powell, et al.. (2020). Early Intervention in Ischemic Tissue with Oxygen Nanocarriers Enables Successful Implementation of Restorative Cell Therapies. Cellular and Molecular Bioengineering. 13(5). 435–446. 5 indexed citations

Shukla, Vasudha, Silvia Duarte‐Sanmiguel, Jordan Moore, et al.. (2020). Reciprocal Signaling between Myeloid Derived Suppressor and Tumor Cells Enhances Cellular Motility and is Mediated by Structural Cues in the Microenvironment. Advanced Biosystems. 4(6). e2000049–e2000049. 7 indexed citations

Moore, Jordan, Silvia Duarte‐Sanmiguel, Chandan K. Sen, et al.. (2020). Nanochannel‐Based Poration Drives Benign and Effective Nonviral Gene Delivery to Peripheral Nerve Tissue. Advanced Biosystems. 4(11). e2000157–e2000157. 12 indexed citations

Mossadegh‐Keller, Noushin, Sandrine Sarrazin, Prashanth K. Kandalla, et al.. (2013). M-CSF instructs myeloid lineage fate in single haematopoietic stem cells. Nature. 497(7448). 239–243. 262 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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