Alexis M. Ziemba

851 total citations
21 papers, 677 citations indexed

About

Alexis M. Ziemba is a scholar working on Cellular and Molecular Neuroscience, Biomaterials and Surgery. According to data from OpenAlex, Alexis M. Ziemba has authored 21 papers receiving a total of 677 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cellular and Molecular Neuroscience, 8 papers in Biomaterials and 4 papers in Surgery. Recurrent topics in Alexis M. Ziemba's work include Electrospun Nanofibers in Biomedical Applications (7 papers), Nerve injury and regeneration (5 papers) and Neuroscience and Neuropharmacology Research (4 papers). Alexis M. Ziemba is often cited by papers focused on Electrospun Nanofibers in Biomedical Applications (7 papers), Nerve injury and regeneration (5 papers) and Neuroscience and Neuropharmacology Research (4 papers). Alexis M. Ziemba collaborates with scholars based in United States, France and Germany. Alexis M. Ziemba's co-authors include Ryan J. Gilbert, Stuart A. Forman, Jonathan M. Zuidema, Anthony R. D’Amato, Deanna M. Thompson, Jane Garb, Karin G. Johnson, Christopher Johnson, Abigail N. Koppes and Ryan A. Koppes and has published in prestigious journals such as PLoS ONE, ACS Applied Materials & Interfaces and Anesthesiology.

In The Last Decade

Alexis M. Ziemba

20 papers receiving 661 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alexis M. Ziemba United States 15 318 238 212 139 116 21 677
Arash Zaminy Iran 14 242 0.8× 160 0.7× 159 0.8× 156 1.1× 131 1.1× 26 621
Wenrui Qu China 19 290 0.9× 222 0.9× 184 0.9× 198 1.4× 173 1.5× 56 960
Mohammad Abu-Rub United States 14 189 0.6× 198 0.8× 242 1.1× 197 1.4× 125 1.1× 22 819
Fang Zhou China 21 189 0.6× 229 1.0× 325 1.5× 341 2.5× 146 1.3× 40 1.1k
Anjana Jain United States 12 308 1.0× 277 1.2× 229 1.1× 156 1.1× 122 1.1× 12 858
Yangnan Hu China 20 322 1.0× 538 2.3× 224 1.1× 240 1.7× 137 1.2× 48 1.2k
Wojciech Maksymowicz Poland 17 222 0.7× 128 0.5× 70 0.3× 134 1.0× 107 0.9× 46 815
Nassir Mokarram United States 15 278 0.9× 382 1.6× 227 1.1× 143 1.0× 175 1.5× 20 1.0k

Countries citing papers authored by Alexis M. Ziemba

Since Specialization
Citations

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

Fields of papers citing papers by Alexis M. Ziemba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alexis M. Ziemba. 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 Alexis M. Ziemba. The network helps show where Alexis M. Ziemba may publish in the future.

Co-authorship network of co-authors of Alexis M. Ziemba

This figure shows the co-authorship network connecting the top 25 collaborators of Alexis M. Ziemba. A scholar is included among the top collaborators of Alexis M. Ziemba 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 Alexis M. Ziemba. Alexis M. Ziemba 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.
Puhl, Devan L., Alexis M. Ziemba, Deniz Rende, et al.. (2025). Modular molecular design of polymerized pro-estrogen materials enables controlled astrocyte response. Journal of Materials Chemistry B. 13(22). 6376–6392.
2.
Ziemba, Alexis M., Deniz Rende, Evon S. Ereifej, et al.. (2023). Development of a Slow-Degrading Polymerized Curcumin Coating for Intracortical Microelectrodes. ACS Applied Bio Materials. 6(2). 806–818. 10 indexed citations
3.
4.
Ziemba, Alexis M., et al.. (2020). Coating Topologically Complex Electrospun Fibers with Nanothin Silk Fibroin Enhances Neurite Outgrowth in Vitro. ACS Biomaterials Science & Engineering. 6(3). 1321–1332. 26 indexed citations
5.
Ziemba, Alexis M., et al.. (2020). Bone Marrow-Derived and Elicited Peritoneal Macrophages Are Not Created Equal: The Questions Asked Dictate the Cell Type Used. Frontiers in Immunology. 11. 269–269. 38 indexed citations
6.
Ziemba, Alexis M., et al.. (2020). Conventional immunomarkers stain a fraction of astrocytes in vitro: A comparison of rat cortical and spinal cord astrocytes in naïve and stimulated cultures. Journal of Neuroscience Research. 99(3). 806–826. 5 indexed citations
7.
Gottipati, Manoj K., Anthony R. D’Amato, Alexis M. Ziemba, Phillip G. Popovich, & Ryan J. Gilbert. (2020). TGFβ3 is neuroprotective and alleviates the neurotoxic response induced by aligned poly-l-lactic acid fibers on naïve and activated primary astrocytes. Acta Biomaterialia. 117. 273–282. 31 indexed citations
8.
D’Amato, Anthony R., et al.. (2019). Exploring the effects of electrospun fiber surface nanotopography on neurite outgrowth and branching in neuron cultures. PLoS ONE. 14(2). e0211731–e0211731. 36 indexed citations
9.
Ziemba, Alexis M., Anthony R. D’Amato, Devan L. Puhl, et al.. (2019). Stabilized Interleukin-4-Loaded Poly(lactic-co-glycolic) Acid Films Shift Proinflammatory Macrophages toward a Regenerative Phenotypein Vitro. ACS Applied Bio Materials. 2(4). 1498–1508. 15 indexed citations
10.
Ziemba, Alexis M., et al.. (2019). Lactonic Sophorolipid Increases Surface Wettability of Poly-l-lactic Acid Electrospun Fibers. ACS Applied Bio Materials. 2(8). 3153–3158. 6 indexed citations
11.
Johnson, Christopher, Jonathan M. Zuidema, Alexis M. Ziemba, et al.. (2018). Injectable, Magnetically Orienting Electrospun Fiber Conduits for Neuron Guidance. ACS Applied Materials & Interfaces. 11(1). 356–372. 92 indexed citations
12.
13.
Savechenkov, Pavel Y., David C. Chiara, Rooma Desai, et al.. (2017). Synthesis and pharmacological evaluation of neurosteroid photoaffinity ligands. European Journal of Medicinal Chemistry. 136. 334–347. 14 indexed citations
14.
Ziemba, Alexis M. & Ryan J. Gilbert. (2017). Biomaterials for Local, Controlled Drug Delivery to the Injured Spinal Cord. Frontiers in Pharmacology. 8. 245–245. 77 indexed citations
15.
Ziemba, Alexis M., et al.. (2017). Alphaxalone Binds in Inner Transmembrane β+–α− Interfaces of α1β3γ2 γ-Aminobutyric Acid Type A Receptors. Anesthesiology. 128(2). 338–351. 21 indexed citations
16.
D’Amato, Anthony R., Nicholas J. Schaub, Jesus Cardenas, et al.. (2017). Evaluation of procedures to quantify solvent retention in electrospun fibers and facilitate solvent removal. Fibers and Polymers. 18(3). 483–492. 22 indexed citations
17.
18.
Ziemba, Alexis M. & Stuart A. Forman. (2016). Correction for Inhibition Leads to an Allosteric Co-Agonist Model for Pentobarbital Modulation and Activation of α1β3γ2L GABAA Receptors. PLoS ONE. 11(4). e0154031–e0154031. 23 indexed citations
19.
Koppes, Abigail N., Amy McGregor, Ryan A. Koppes, et al.. (2016). Robust neurite extension following exogenous electrical stimulation within single walled carbon nanotube-composite hydrogels. Acta Biomaterialia. 39. 34–43. 110 indexed citations
20.
Johnson, Karin G., Alexis M. Ziemba, & Jane Garb. (2012). Improvement in Headaches With Continuous Positive Airway Pressure for Obstructive Sleep Apnea: A Retrospective Analysis. Headache The Journal of Head and Face Pain. 53(2). 333–343. 52 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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