Lydia Raines

645 total citations · 1 hit paper
16 papers, 472 citations indexed

About

Lydia Raines is a scholar working on Molecular Biology, Genetics and Epidemiology. According to data from OpenAlex, Lydia Raines has authored 16 papers receiving a total of 472 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Genetics and 3 papers in Epidemiology. Recurrent topics in Lydia Raines's work include Hemoglobinopathies and Related Disorders (4 papers), Autophagy in Disease and Therapy (3 papers) and Immune cells in cancer (3 papers). Lydia Raines is often cited by papers focused on Hemoglobinopathies and Related Disorders (4 papers), Autophagy in Disease and Therapy (3 papers) and Immune cells in cancer (3 papers). Lydia Raines collaborates with scholars based in United States, Switzerland and China. Lydia Raines's co-authors include Stanley Ching‐Cheng Huang, Haoxin Zhao, Héctor Gallart‐Ayala, Ping‐Chih Ho, Julijana Ivanišević, Chan‐Wang Jerry Lio, Po‐Tsun Liu, Heng-Yi Chen, Wei Cao and Yeojung Koh and has published in prestigious journals such as Nature Communications, Nature Immunology and Scientific Reports.

In The Last Decade

Lydia Raines

14 papers receiving 469 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

PERK is a critical metabolic hub for immunosuppressive function in macrophages

2022 164 citations Lydia Raines, Haoxin Zhao et al. Nature Immunology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lydia Raines United States	9	221	182	89	74	65	16	472
Stephen Searles United States	11	180 0.8×	117 0.6×	61 0.7×	87 1.2×	48 0.7×	16	499
Kazuhito Gotoh Japan	12	216 1.0×	218 1.2×	40 0.4×	47 0.6×	48 0.7×	20	495
Joon Hyeok Kwak United States	10	307 1.4×	96 0.5×	75 0.8×	54 0.7×	60 0.9×	20	568
Anna Jia China	15	251 1.1×	358 2.0×	100 1.1×	64 0.9×	62 1.0×	19	666
Angela Papageorgiou United States	9	371 1.7×	142 0.8×	65 0.7×	92 1.2×	60 0.9×	11	636
Xiaofei Zhang China	12	260 1.2×	87 0.5×	84 0.9×	23 0.3×	56 0.9×	25	500
Hengxiao Ni China	4	390 1.8×	171 0.9×	75 0.8×	26 0.4×	78 1.2×	4	503
Yixuan Sun China	11	187 0.8×	133 0.7×	100 1.1×	80 1.1×	83 1.3×	27	481
Kezhen Huang United States	7	284 1.3×	109 0.6×	44 0.5×	41 0.6×	55 0.8×	16	454

Countries citing papers authored by Lydia Raines

Since Specialization

Citations

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

Fields of papers citing papers by Lydia Raines

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lydia Raines

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

All Works

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16 of 16 papers shown

Zhao, Haoxin, Jaeoh Park, Yuzhu Wang, et al.. (2025). Cancer suppresses mitochondrial chaperone activity in macrophages to drive immune evasion. Nature Immunology. 26(12). 2185–2200.

Raines, Lydia & Stanley Ching‐Cheng Huang. (2023). How the Unfolded Protein Response Is a Boon for Tumors and a Bane for the Immune System. ImmunoHorizons. 7(4). 256–264. 5 indexed citations

Medvedev, Alexander V., Matt Moeser, E. S. Martsen, et al.. (2022). Comprehensive assessment of NR ligand polypharmacology by a multiplex reporter NR assay. Scientific Reports. 12(1). 3115–3115. 8 indexed citations

Raines, Lydia, Haoxin Zhao, Yuzhu Wang, et al.. (2022). PERK is a critical metabolic hub for immunosuppressive function in macrophages. Nature Immunology. 23(3). 431–445. 164 indexed citations breakdown →

Conza, Giusy Di, Héctor Gallart‐Ayala, Yi-Ru Yu, et al.. (2021). Tumor-induced reshuffling of lipid composition on the endoplasmic reticulum membrane sustains macrophage survival and pro-tumorigenic activity. Nature Immunology. 22(11). 1403–1415. 144 indexed citations

Zhao, Haoxin, Lydia Raines, & Stanley Ching‐Cheng Huang. (2020). Carbohydrate and Amino Acid Metabolism as Hallmarks for Innate Immune Cell Activation and Function. Cells. 9(3). 562–562. 41 indexed citations

Zhao, Haoxin, Lydia Raines, & Stanley Ching‐Cheng Huang. (2020). Molecular Chaperones: Molecular Assembly Line Brings Metabolism and Immunity in Shape. Metabolites. 10(10). 394–394. 15 indexed citations

Stringaris, Kate, Robert F. Hoyt, Jan Davidson‐Moncada, et al.. (2020). Intrabone transplantation of CD34+ cells with optimized delivery does not enhance engraftment in a rhesus macaque model. Blood Advances. 4(24). 6148–6156. 7 indexed citations

Uchida, Naoya, Matthew M. Hsieh, Lydia Raines, et al.. (2019). Development of a forward-oriented therapeutic lentiviral vector for hemoglobin disorders. Nature Communications. 10(1). 4479–4479. 25 indexed citations

10.

Raines, Lydia, et al.. (2019). Ex vivo immunological evaluation of stable mixed chimeric patients after matched related donor allogeneic transplantation in sickle cell disease. Cytotherapy. 21(12). 1206–1215. 2 indexed citations

11.

Medvedev, Alexander V., Matt Moeser, E. S. Martsen, et al.. (2018). Evaluating biological activity of compounds by transcription factor activity profiling. Science Advances. 4(9). eaar4666–eaar4666. 23 indexed citations

12.

Uchida, Naoya, Selami Demirci, Juan J. Haro‐Mora, et al.. (2018). Serum-free Erythroid Differentiation for Efficient Genetic Modification and High-Level Adult Hemoglobin Production. Molecular Therapy — Methods & Clinical Development. 9. 247–256. 14 indexed citations

13.

Uchida, Naoya, Juan J. Haro‐Mora, Selami Demirci, et al.. (2018). High-level embryonic globin production with efficient erythroid differentiation from a K562 erythroleukemia cell line. Experimental Hematology. 62. 7–16.e1. 11 indexed citations

14.

Uchida, Naoya, Kareem Washington, Brian A. Mozer, et al.. (2017). RNA Trans-Splicing Targeting Endogenous β-Globin Pre-Messenger RNA in Human Erythroid Cells. Human Gene Therapy Methods. 28(2). 91–99. 4 indexed citations

15.

Uchida, Naoya, R. Patrick Weitzel, Luke P. Skala, et al.. (2016). Total body irradiation must be delivered at high dose for efficient engraftment and tolerance in a rhesus stem cell gene therapy model. Molecular Therapy — Methods & Clinical Development. 3. 16059–16059. 9 indexed citations

16.

Uchida, Naoya, et al.. (2016). 3. Development of a Cas9 Protein Delivery System with Lentiviral Vectors for RNA-Guided Genome Editing. Molecular Therapy. 24. S2–S2.

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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