Larisa Belaygorod

1.8k total citations · 2 hit papers
8 papers, 1.3k citations indexed

About

Larisa Belaygorod is a scholar working on Molecular Biology, Surgery and Genetics. According to data from OpenAlex, Larisa Belaygorod has authored 8 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Surgery and 2 papers in Genetics. Recurrent topics in Larisa Belaygorod's work include Peroxisome Proliferator-Activated Receptors (2 papers), Parkinson's Disease Mechanisms and Treatments (2 papers) and Diabetic Foot Ulcer Assessment and Management (1 paper). Larisa Belaygorod is often cited by papers focused on Peroxisome Proliferator-Activated Receptors (2 papers), Parkinson's Disease Mechanisms and Treatments (2 papers) and Diabetic Foot Ulcer Assessment and Management (1 paper). Larisa Belaygorod collaborates with scholars based in United States, Australia and United Kingdom. Larisa Belaygorod's co-authors include William Eades, Nigel J. Cairns, Thomas E. Mahan, Hilda Mirbaha, Tritia R. Yamasaki, Marc I. Diamond, Brandon B. Holmes, David M. Holtzman, Jennifer L. Furman and William M. Gallagher and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Cancer Research and Diabetes.

In The Last Decade

Larisa Belaygorod

8 papers receiving 1.3k citations

Hit Papers

Targeting Tumor-Infiltrating Macrophages Decreases Tumor-... 2012 2026 2016 2021 2012 2014 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Larisa Belaygorod United States 7 551 520 429 394 139 8 1.3k
Krzysztof Paliga Germany 13 420 0.8× 309 0.6× 784 1.8× 982 2.5× 80 0.6× 17 1.7k
Suzana Assad Kahn Brazil 19 311 0.6× 500 1.0× 701 1.6× 97 0.2× 337 2.4× 34 1.7k
Donna L. Herber United States 9 566 1.0× 1.3k 2.4× 565 1.3× 338 0.9× 390 2.8× 13 2.1k
Yosuke Matsushita Japan 18 277 0.5× 326 0.6× 954 2.2× 268 0.7× 33 0.2× 36 1.4k
Brian D. Goetz United States 14 526 1.0× 561 1.1× 413 1.0× 66 0.2× 249 1.8× 24 1.4k
Flávia Brunstein Netherlands 19 422 0.8× 139 0.3× 284 0.7× 314 0.8× 61 0.4× 37 1.1k
Chung Kwon Kim South Korea 20 523 0.9× 360 0.7× 584 1.4× 57 0.1× 76 0.5× 39 1.3k
Myles Fennell United States 14 338 0.6× 355 0.7× 924 2.2× 391 1.0× 31 0.2× 26 1.6k
Nathalie Chaverot France 14 262 0.5× 189 0.4× 540 1.3× 135 0.3× 340 2.4× 18 1.2k
Martin Balaštík Czechia 14 273 0.5× 234 0.5× 966 2.3× 293 0.7× 41 0.3× 22 1.3k

Countries citing papers authored by Larisa Belaygorod

Since Specialization
Citations

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

Fields of papers citing papers by Larisa Belaygorod

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Larisa Belaygorod

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

All Works

8 of 8 papers shown
1.
Belaygorod, Larisa, Batool Arif, Fong‐Fu Hsu, et al.. (2025). Targeting fatty acid synthase reduces aortic atherosclerosis and inflammation. Communications Biology. 8(1). 262–262. 2 indexed citations
2.
Zhang, Xiaolu, Eugene Kim, Jingyao Li, et al.. (2023). Genetically Engineered Protein-Based Bioadhesives with Programmable Material Properties. ACS Applied Materials & Interfaces. 15(49). 56786–56795. 7 indexed citations
3.
Li, Chenglong, et al.. (2020). Canagliflozin impedes ischemic hind-limb recovery in the setting of diabetes. Vascular Medicine. 26(2). 131–138. 7 indexed citations
4.
Zayed, Mohamed A., Xiaohua Jin, Chao Yang, et al.. (2020). CEPT1-Mediated Phospholipogenesis Regulates Endothelial Cell Function and Ischemia-Induced Angiogenesis Through PPARα. Diabetes. 70(2). 549–561. 14 indexed citations
5.
Zayed, Mohamed A., Kyoung‐mi Park, Larisa Belaygorod, et al.. (2017). N ‐acetylcysteine accelerates amputation stump healing in the setting of diabetes. The FASEB Journal. 31(6). 2686–2695. 22 indexed citations
6.
Holmes, Brandon B., Jennifer L. Furman, Thomas E. Mahan, et al.. (2014). Proteopathic tau seeding predicts tauopathy in vivo. Proceedings of the National Academy of Sciences. 111(41). E4376–85. 456 indexed citations breakdown →
7.
Mitchem, Jonathan B., Donal J. Brennan, Brett L. Knolhoff, et al.. (2012). Targeting Tumor-Infiltrating Macrophages Decreases Tumor-Initiating Cells, Relieves Immunosuppression, and Improves Chemotherapeutic Responses. Cancer Research. 73(3). 1128–1141. 759 indexed citations breakdown →
8.
Hue‐Roye, Kim, Christine Lomas‐Francis, Larisa Belaygorod, et al.. (2007). Three new high‐prevalence antigens in the Cromer blood group system. Transfusion. 47(9). 1621–1629. 8 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026