Gene L. Bidwell

3.0k total citations
74 papers, 2.4k citations indexed

About

Gene L. Bidwell is a scholar working on Genetics, Molecular Biology and Biomaterials. According to data from OpenAlex, Gene L. Bidwell has authored 74 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Genetics, 25 papers in Molecular Biology and 14 papers in Biomaterials. Recurrent topics in Gene L. Bidwell's work include Connective tissue disorders research (30 papers), Pregnancy and preeclampsia studies (11 papers) and RNA Interference and Gene Delivery (11 papers). Gene L. Bidwell is often cited by papers focused on Connective tissue disorders research (30 papers), Pregnancy and preeclampsia studies (11 papers) and RNA Interference and Gene Delivery (11 papers). Gene L. Bidwell collaborates with scholars based in United States, United Kingdom and Germany. Gene L. Bidwell's co-authors include Dražen Raucher, Iqbal Massodi, Fakhri Mahdi, Eric M. George, Alejandro Chade, Izabela Fokt, Waldemar Priebe, Eddie Perkins, Jason Engel and Adrian C. Eddy and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Molecular Biology.

In The Last Decade

Gene L. Bidwell

71 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gene L. Bidwell United States 29 962 624 490 391 320 74 2.4k
Anandwardhan A. Hardikar Australia 32 1.6k 1.6× 701 1.1× 339 0.7× 159 0.4× 252 0.8× 110 3.9k
Anastasia Malek Russia 28 1.6k 1.7× 183 0.3× 108 0.2× 406 1.0× 180 0.6× 108 2.6k
Weiping Qian China 27 1.3k 1.3× 161 0.3× 388 0.8× 74 0.2× 585 1.8× 85 2.9k
Daniël G. M. Molin Netherlands 29 1.5k 1.6× 234 0.4× 201 0.4× 76 0.2× 226 0.7× 64 2.4k
Sung Tae Kim South Korea 24 629 0.7× 221 0.4× 191 0.4× 73 0.2× 119 0.4× 67 1.9k
Sanam Dolati Iran 31 899 0.9× 61 0.1× 271 0.6× 321 0.8× 321 1.0× 93 2.9k
Ying Zhu China 34 1.5k 1.6× 239 0.4× 114 0.2× 184 0.5× 241 0.8× 145 3.4k
Michał Nowicki Poland 28 1.5k 1.6× 315 0.5× 171 0.3× 37 0.1× 210 0.7× 253 3.5k
Wenjun Cheng China 22 1.2k 1.3× 116 0.2× 113 0.2× 174 0.4× 244 0.8× 76 2.4k

Countries citing papers authored by Gene L. Bidwell

Since Specialization
Citations

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

Fields of papers citing papers by Gene L. Bidwell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gene L. Bidwell. 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 Gene L. Bidwell. The network helps show where Gene L. Bidwell may publish in the future.

Co-authorship network of co-authors of Gene L. Bidwell

This figure shows the co-authorship network connecting the top 25 collaborators of Gene L. Bidwell. A scholar is included among the top collaborators of Gene L. Bidwell 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 Gene L. Bidwell. Gene L. Bidwell 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.
Moore, M.A., et al.. (2025). Extending the Three-Dimensional Culture of Adipocytes Through Surface Coatings. Bioengineering. 12(3). 266–266.
3.
Rekart, Michael L., Gene L. Bidwell, Zinaida Tigay, et al.. (2024). Second-line drug-resistant TB and associated risk factors in Karakalpakstan, Uzbekistan. SHILAP Revista de lepidopterología. 1(9). 391–397. 2 indexed citations
4.
Burke, Stephen, et al.. (2023). Elastin‐like polypeptide delivery of anti‐inflammatory peptides to the brain following ischemic stroke. The FASEB Journal. 37(8). e23077–e23077. 8 indexed citations
5.
Chade, Alejandro & Gene L. Bidwell. (2022). Novel Drug Delivery Technologies and Targets for Renal Disease. Hypertension. 79(9). 1937–1948. 9 indexed citations
6.
Ashraf, Usman, Nathan Campbell, Kathy Cockrell, et al.. (2022). Inhibition of the AT1R agonistic autoantibody in a rat model of preeclampsia improves fetal growth in late gestation. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 323(5). R670–R681. 6 indexed citations
7.
Chade, Alejandro, Jason Engel, Michael E. Hall, Alfonso Eirin, & Gene L. Bidwell. (2021). Intrarenal modulation of NF-κB activity attenuates cardiac injury in a swine model of CKD: a renal-cardio axis. American Journal of Physiology-Renal Physiology. 321(4). F411–F423. 13 indexed citations
8.
Bidwell, Gene L.. (2021). Novel Protein Therapeutics Created Using the Elastin-Like Polypeptide Platform. Physiology. 36(6). 367–381. 19 indexed citations
9.
Mitra, Dipanwita, Mohammad Hasan, John T. Bates, Gene L. Bidwell, & Ritesh Tandon. (2021). Tegument Protein pp150 Sequence-Specific Peptide Blocks Cytomegalovirus Infection. Viruses. 13(11). 2277–2277. 6 indexed citations
10.
Bidwell, Gene L., et al.. (2020). Targeting the NF-κB Pathway for Therapy of Ischemic Stroke. Therapeutic Delivery. 11(2). 113–123. 61 indexed citations
11.
Chade, Alejandro, et al.. (2020). Molecular targeting of renal inflammation using drug delivery technology to inhibit NF-κB improves renal recovery in chronic kidney disease. American Journal of Physiology-Renal Physiology. 319(1). F139–F148. 16 indexed citations
12.
Engel, Jason, et al.. (2019). Biopolymer-delivered vascular endothelial growth factor improves renal outcomes following revascularization. American Journal of Physiology-Renal Physiology. 316(5). F1016–F1025. 18 indexed citations
13.
Mahdi, Fakhri, Alejandro Chade, & Gene L. Bidwell. (2019). Utilizing a Kidney-Targeting Peptide to Improve Renal Deposition of a Pro-Angiogenic Protein Biopolymer. Pharmaceutics. 11(10). 542–542. 14 indexed citations
14.
15.
Eddy, Adrian C., Gene L. Bidwell, & Eric M. George. (2018). Pro-angiogenic therapeutics for preeclampsia. Biology of Sex Differences. 9(1). 36–36. 48 indexed citations
16.
Ilekis, John, Ekaterini Tsilou, Susan J. Fisher, et al.. (2016). Placental origins of adverse pregnancy outcomes: potential molecular targets: an Executive Workshop Summary of the Eunice Kennedy Shriver National Institute of Child Health and Human Development. American Journal of Obstetrics and Gynecology. 215(1). S1–S46. 216 indexed citations
17.
Bidwell, Gene L., et al.. (2016). A kidney-selective biopolymer for targeted drug delivery. American Journal of Physiology-Renal Physiology. 312(1). F54–F64. 61 indexed citations
18.
George, Eric M., et al.. (2015). Corneal Penetrating Elastin-Like Polypeptide Carriers. Journal of Ocular Pharmacology and Therapeutics. 32(3). 163–171. 12 indexed citations
19.
Bidwell, Gene L., et al.. (2007). A thermally targeted elastin-like polypeptide-doxorubicin conjugate overcomes drug resistance. Investigational New Drugs. 25(4). 313–326. 91 indexed citations
20.
Bidwell, Gene L. & Dražen Raucher. (2005). Enhancing the antiproliferative effect of topoisomerase II inhibitors using a polypeptide inhibitor of c-Myc. Biochemical Pharmacology. 71(3). 248–256. 33 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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