Jennifer K. Lang

1.5k total citations
33 papers, 1.1k citations indexed

About

Jennifer K. Lang is a scholar working on Molecular Biology, Surgery and Immunology. According to data from OpenAlex, Jennifer K. Lang has authored 33 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 11 papers in Surgery and 6 papers in Immunology. Recurrent topics in Jennifer K. Lang's work include Extracellular vesicles in disease (8 papers), Tissue Engineering and Regenerative Medicine (5 papers) and Immune cells in cancer (4 papers). Jennifer K. Lang is often cited by papers focused on Extracellular vesicles in disease (8 papers), Tissue Engineering and Regenerative Medicine (5 papers) and Immune cells in cancer (4 papers). Jennifer K. Lang collaborates with scholars based in United States, Canada and Germany. Jennifer K. Lang's co-authors include Kyle I. Mentkowski, Amir Samii, Thomas R. Cimato, Fraser J. Sim, Rebeccah F. Young, Steven A. Goldman, Neeta S. Roy, Webster H. Pilcher, John M. Canty and Ben Waldau and has published in prestigious journals such as Circulation, PLoS ONE and Biomaterials.

In The Last Decade

Jennifer K. Lang

32 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jennifer K. Lang United States 17 637 303 160 116 111 33 1.1k
Jinlong Zhang China 19 443 0.7× 205 0.7× 119 0.7× 62 0.5× 78 0.7× 65 1.2k
Onju Ham South Korea 21 723 1.1× 396 1.3× 322 2.0× 128 1.1× 128 1.2× 47 1.4k
Yinan Liu China 22 922 1.4× 327 1.1× 283 1.8× 72 0.6× 63 0.6× 63 1.4k
Chikako Hayashi Japan 13 508 0.8× 157 0.5× 96 0.6× 99 0.9× 50 0.5× 29 944
Yongshun Lin United States 21 836 1.3× 96 0.3× 146 0.9× 98 0.8× 94 0.8× 32 1.2k
Han-Soo Kim South Korea 19 326 0.5× 102 0.3× 189 1.2× 93 0.8× 88 0.8× 54 956
Patricia Kumar United Kingdom 19 590 0.9× 139 0.5× 64 0.4× 44 0.4× 87 0.8× 40 1.1k
Changqing Xie China 21 1.1k 1.7× 798 2.6× 192 1.2× 168 1.4× 98 0.9× 37 1.6k
Eun Ju Lee South Korea 19 679 1.1× 102 0.3× 333 2.1× 177 1.5× 63 0.6× 45 1.2k
Frederic Lluı́s Spain 20 1.1k 1.7× 152 0.5× 180 1.1× 87 0.8× 42 0.4× 32 1.3k

Countries citing papers authored by Jennifer K. Lang

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer K. Lang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jennifer K. Lang. 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 Jennifer K. Lang. The network helps show where Jennifer K. Lang may publish in the future.

Co-authorship network of co-authors of Jennifer K. Lang

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer K. Lang. A scholar is included among the top collaborators of Jennifer K. Lang 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 Jennifer K. Lang. Jennifer K. Lang 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.
Xu, Ying, et al.. (2024). Modeling mechanical activation of macrophages during pulmonary fibrogenesis for targeted anti-fibrosis therapy. Science Advances. 10(13). eadj9559–eadj9559. 20 indexed citations
2.
Mentkowski, Kyle I., et al.. (2024). Surface engineering enhances the therapeutic potential of systemically delivered extracellular vesicles following acute myocardial infarction. The FASEB Journal. 38(18). e70070–e70070. 3 indexed citations
3.
Duffey, Michael E., et al.. (2024). Left Ventricular Systolic Dysfunction in NBCe1-B/C-Knockout Mice. International Journal of Molecular Sciences. 25(17). 9610–9610. 2 indexed citations
5.
Lang, Jennifer K., Adolfo Quiñones‐Lombraña, Rachael Hageman Blair, et al.. (2021). CBR3 V244M is associated with LVEF reduction in breast cancer patients treated with doxorubicin. Cardio-Oncology. 7(1). 17–17. 11 indexed citations
6.
Weil, Brian R., et al.. (2021). Neutrophils aid cellular therapeutics by enhancing glycoengineered stem cell recruitment and retention at sites of inflammation. Biomaterials. 276. 121048–121048. 5 indexed citations
7.
Sharma, Umesh C., et al.. (2021). Modified GAN Augmentation Algorithms for the MRI-Classification of Myocardial Scar Tissue in Ischemic Cardiomyopathy. Frontiers in Cardiovascular Medicine. 8. 726943–726943. 5 indexed citations
8.
Mentkowski, Kyle I. & Jennifer K. Lang. (2019). Exosomes Engineered to Express a Cardiomyocyte Binding Peptide Demonstrate Improved Cardiac Retention in Vivo. Scientific Reports. 9(1). 10041–10041. 186 indexed citations
9.
Mentkowski, Kyle I., et al.. (2018). Therapeutic Potential of Engineered Extracellular Vesicles. The AAPS Journal. 20(3). 50–50. 170 indexed citations
10.
Mentkowski, Kyle I. & Jennifer K. Lang. (2018). Abstract 471: Development of a Cardiomyocyte Targeting Delivery System Utilizing Cardiosphere-Derived Cell Exosomes. Circulation Research. 123(Suppl_1). 1 indexed citations
11.
Crönlein, Moritz, Marc Beirer, Dominik Pförringer, et al.. (2018). Analysis of the bony geometry of the acromio-clavicular joint. European journal of medical research. 23(1). 50–50. 4 indexed citations
12.
Cimato, Thomas R., et al.. (2013). LDL Cholesterol Modulates Human CD34+ HSPCs through Effects on Proliferation and the IL-17 G-CSF Axis. PLoS ONE. 8(8). e73861–e73861. 33 indexed citations
13.
Sim, Fraser J., Jennifer K. Lang, Neeta S. Roy, et al.. (2008). Statin treatment of adult human glial progenitors induces PPARγ‐mediated oligodendrocytic differentiation. Glia. 56(9). 954–962. 40 indexed citations
14.
Goldman, Steven A., Jennifer K. Lang, Neeta S. Roy, et al.. (2006). Progenitor Cell-Based Myelination as a Model for Cell-Based Therapy of the Central Nervous System. PubMed. 195–213. 8 indexed citations
15.
Begleiter, Asher, Kimberly Larson, Jennifer K. Lang, et al.. (2006). Structure-activity studies with cytotoxic anthrapyrazoles. Oncology Reports. 15(6). 1575–80. 9 indexed citations
16.
Sim, Fraser J., Jennifer K. Lang, Ben Waldau, et al.. (2006). Corrections. Annals of Neurology. 59(6). 990–990. 2 indexed citations
17.
Sim, Fraser J., Jennifer K. Lang, Ben Waldau, et al.. (2006). Complementary patterns of gene expression by human oligodendrocyte progenitors and their environment predict determinants of progenitor maintenance and differentiation. Annals of Neurology. 59(5). 763–779. 116 indexed citations
18.
Stewart, Phoebe L., et al.. (2005). Sea urchin vault structure, composition, and differential localization during development. BMC Developmental Biology. 5(1). 3–3. 21 indexed citations
19.
Lang, Jennifer K. & Amir Samii. (1991). Retrosigmoidal approach to the posterior cranial fossa. An anatomical study. Acta Neurochirurgica. 111(3-4). 147–153. 54 indexed citations
20.
Frohman, Larry, Mark J. Kupersmith, Jennifer K. Lang, et al.. (1986). Intracranial Extension and Bone Destruction in Orbital Pseudotumor. Archives of Ophthalmology. 104(3). 380–384. 70 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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