Lydia Koenig

2.5k total citations · 2 hit papers
14 papers, 1.9k citations indexed

About

Lydia Koenig is a scholar working on Oncology, Molecular Biology and Immunology. According to data from OpenAlex, Lydia Koenig has authored 14 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Oncology, 4 papers in Molecular Biology and 3 papers in Immunology. Recurrent topics in Lydia Koenig's work include Cancer Immunotherapy and Biomarkers (3 papers), Glycosylation and Glycoproteins Research (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). Lydia Koenig is often cited by papers focused on Cancer Immunotherapy and Biomarkers (3 papers), Glycosylation and Glycoproteins Research (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). Lydia Koenig collaborates with scholars based in United States, China and India. Lydia Koenig's co-authors include Gabriel Sica, Suresh S. Ramalingam, Taofeek K. Owonikoko, Shu Yang, Alice O. Kamphorst, Andreas Wieland, Rathi N. Pillai, Rafi Ahmed, Tahseen H. Nasti and Zhengjia Chen and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and ACS Nano.

In The Last Decade

Lydia Koenig

14 papers receiving 1.8k citations

Hit Papers

Rescue of exhausted CD8 T... 2017 2026 2020 2023 2017 2017 200 400 600
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.

  1. Rescue of exhausted CD8 T cells by PD-1–targeted therapies is CD28-dependent
    2017 724 citations Alice O. Kamphorst, Andreas Wieland et al. Science profile →
  2. Proliferation of PD-1+ CD8 T cells in peripheral blood after PD-1–targeted therapy in lung cancer patients
    2017 582 citations Alice O. Kamphorst, Rathi N. Pillai et al. Proceedings of the National Academy of Sciences profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lydia Koenig United States 10 1.2k 939 456 230 199 14 1.9k
Catherine Sabatos-Peyton United States 13 1.1k 1.0× 1.2k 1.3× 475 1.0× 233 1.0× 96 0.5× 23 2.1k
Peter M. Ferguson Australia 21 666 0.6× 473 0.5× 477 1.0× 172 0.7× 134 0.7× 68 1.5k
Haidong Tang China 13 930 0.8× 972 1.0× 387 0.8× 258 1.1× 128 0.6× 25 1.9k
Wei‐Wei Deng China 22 829 0.7× 849 0.9× 708 1.6× 189 0.8× 202 1.0× 51 2.1k
Danny N. Khalil United States 14 950 0.8× 637 0.7× 410 0.9× 274 1.2× 73 0.4× 40 1.6k
B. Leticia Rodriguez United States 16 790 0.7× 579 0.6× 631 1.4× 193 0.8× 142 0.7× 28 1.5k
Sigrid Ring United States 14 1.4k 1.2× 592 0.6× 812 1.8× 164 0.7× 234 1.2× 21 1.9k
Katyayani Tatiparti United States 14 1.0k 0.8× 601 0.6× 871 1.9× 243 1.1× 355 1.8× 19 2.3k
Fanyan Meng China 21 832 0.7× 553 0.6× 949 2.1× 137 0.6× 105 0.5× 60 1.8k

Countries citing papers authored by Lydia Koenig

Since Specialization
Citations

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

Fields of papers citing papers by Lydia Koenig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lydia Koenig

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

All Works

14 of 14 papers shown
1.
Kamphorst, Alice O., Andreas Wieland, Tahseen H. Nasti, et al.. (2017). Rescue of exhausted CD8 T cells by PD-1–targeted therapies is CD28-dependent. Science. 355(6332). 1423–1427. 724 indexed citations breakdown →
2.
Kamphorst, Alice O., Rathi N. Pillai, Shu Yang, et al.. (2017). Proliferation of PD-1+ CD8 T cells in peripheral blood after PD-1–targeted therapy in lung cancer patients. Proceedings of the National Academy of Sciences. 114(19). 4993–4998. 582 indexed citations breakdown →
3.
Saba, Nabil F., Yuxiang Wang, Lydia Koenig, et al.. (2016). Association of Cytoplasmic CXCR4 With Loss of Epithelial Marker and Activation of ERK1/2 and AKT Signaling Pathways in Non–Small-Cell Lung Cancer. Clinical Lung Cancer. 18(3). e203–e210. 15 indexed citations
4.
Kamphorst, Alice O., Rathi N. Pillai, Shu Yang, et al.. (2015). Abstract 1317: Biomarker evaluation for PD-1 targeted therapies in non-small cell lung cancer (NSCLC) patients. Cancer Research. 75(15_Supplement). 1317–1317. 1 indexed citations
5.
Wang, Xu, Jonathan J. Beitler, Hong Wang, et al.. (2014). Honokiol Enhances Paclitaxel Efficacy in Multi-Drug Resistant Human Cancer Model through the Induction of Apoptosis. PLoS ONE. 9(2). e86369–e86369. 46 indexed citations
6.
Rahman, Mohammad Aminur, A.R.M. Ruhul Amin, Dongsheng Wang, et al.. (2013). RRM2 Regulates Bcl-2 in Head and Neck and Lung Cancers: A Potential Target for Cancer Therapy. Clinical Cancer Research. 19(13). 3416–3428. 99 indexed citations
7.
Wang, Dongsheng, Susan J. Muller, A.R.M. Ruhul Amin, et al.. (2012). The Pivotal Role of Integrin β1 in Metastasis of Head and Neck Squamous Cell Carcinoma. Clinical Cancer Research. 18(17). 4589–4599. 39 indexed citations
8.
Rahman, Mohammad Aminur, A.R.M. Ruhul Amin, Xu Wang, et al.. (2012). Systemic delivery of siRNA nanoparticles targeting RRM2 suppresses head and neck tumor growth. Journal of Controlled Release. 159(3). 384–392. 72 indexed citations
9.
Wang, Dongsheng, Zhongliang Hu, Lydia Koenig, et al.. (2012). Abstract 5091: Proteomic study using a newly established metastatic lung cancer model. Cancer Research. 72(8_Supplement). 5091–5091. 4 indexed citations
10.
Wang, Xu, Jun Li, Yuxiang Wang, et al.. (2011). A Folate Receptor-Targeting Nanoparticle Minimizes Drug Resistance in a Human Cancer Model. ACS Nano. 5(8). 6184–6194. 120 indexed citations
11.
Zhang, Hongzheng, Sujin Yun, Thil Batuwangala, et al.. (2011). A dual‐targeting antibody against EGFR‐VEGF for lung and head and neck cancer treatment. International Journal of Cancer. 131(4). 956–969. 30 indexed citations
12.
Hurwitz, Selwyn J., Hongzheng Zhang, Sujin Yun, et al.. (2011). Pharmacodynamics of DT-IgG, a dual-targeting antibody against VEGF-EGFR, in tumor xenografted mice. Cancer Chemotherapy and Pharmacology. 69(3). 577–590. 5 indexed citations
13.
Wang, Yuxiang, Donghai Huang, Dongsheng Wang, et al.. (2010). Abstract 4119: Cytoplasmic location of CXCR4 is correlated to loss of EMT marker and activation of downstream signaling pathway in non-small cell lung cancer. Cancer Research. 70(8_Supplement). 4119–4119. 1 indexed citations
14.
Wang, Xu, Jun Li, Yiqing Wang, et al.. (2009). HFT-T, a Targeting Nanoparticle, Enhances Specific Delivery of Paclitaxel to Folate Receptor-Positive Tumors. ACS Nano. 3(10). 3165–3174. 136 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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