Kimberly Loesch

536 total citations
17 papers, 417 citations indexed

About

Kimberly Loesch is a scholar working on Molecular Biology, Oncology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Kimberly Loesch has authored 17 papers receiving a total of 417 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Oncology and 6 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Kimberly Loesch's work include Growth Hormone and Insulin-like Growth Factors (6 papers), Cytokine Signaling Pathways and Interactions (4 papers) and HIV Research and Treatment (3 papers). Kimberly Loesch is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (6 papers), Cytokine Signaling Pathways and Interactions (4 papers) and HIV Research and Treatment (3 papers). Kimberly Loesch collaborates with scholars based in United States, China and Switzerland. Kimberly Loesch's co-authors include Stuart J. Frank, Richard B. Pollard, Mostafa Nokta, Mostafa Hassan, Xiangdong Wang, Xiaonan Han, Kai He, Luqin Deng, Lee A. Denson and Nancy M. Benight and has published in prestigious journals such as Journal of Clinical Investigation, PLoS ONE and Cancer Research.

In The Last Decade

Kimberly Loesch

17 papers receiving 412 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kimberly Loesch United States 12 163 124 119 88 79 17 417
Carina M. Thomé Germany 9 57 0.3× 85 0.7× 51 0.4× 49 0.6× 66 0.8× 13 322
Dominick L. Auci United States 13 101 0.6× 76 0.6× 28 0.2× 34 0.4× 97 1.2× 23 369
Justin Lin United States 7 21 0.1× 156 1.3× 221 1.9× 81 0.9× 83 1.1× 13 697
Elisabeth Limbeck Germany 8 52 0.3× 198 1.6× 38 0.3× 23 0.3× 75 0.9× 9 400
Christine R. Keenan Australia 16 42 0.3× 289 2.3× 52 0.4× 67 0.8× 185 2.3× 28 634
Ulrika E. A. Mårtensson Sweden 7 204 1.3× 229 1.8× 53 0.4× 75 0.9× 54 0.7× 7 602
Miho Sekai Japan 8 57 0.3× 94 0.8× 109 0.9× 68 0.8× 261 3.3× 13 484
Mary H.Y. Tang China 13 47 0.3× 383 3.1× 62 0.5× 30 0.3× 31 0.4× 29 775
V. Bodart Canada 9 114 0.7× 194 1.6× 33 0.3× 124 1.4× 89 1.1× 9 523
François‐Xavier Mauvais France 13 36 0.2× 121 1.0× 70 0.6× 83 0.9× 125 1.6× 27 378

Countries citing papers authored by Kimberly Loesch

Since Specialization
Citations

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

Fields of papers citing papers by Kimberly Loesch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kimberly Loesch

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

All Works

17 of 17 papers shown
1.
Dang, Qun, Nian Zhou, Thomas Snavely, et al.. (2019). Structure-Guided Drug Design of 6-Substituted Adenosine Analogues as Potent Inhibitors of Mycobacterium tuberculosis Adenosine Kinase. Journal of Medicinal Chemistry. 62(9). 4483–4499. 13 indexed citations
2.
Zhang, Yue, Xiangdong Wang, Kimberly Loesch, et al.. (2016). TIMP3 Modulates GHR Abundance and GH Sensitivity. Molecular Endocrinology. 30(6). 587–599. 8 indexed citations
3.
Orsini, Caitlin A., Barry Setlow, Michael A. DeJesus, et al.. (2016). Behavioral and transcriptomic profiling of mice null forLphn3, a gene implicated inADHDand addiction. Molecular Genetics & Genomic Medicine. 4(3). 322–343. 38 indexed citations
4.
Loesch, Kimberly, Gamal Akabani, Michael A. Deveau, et al.. (2015). Functional Genomics Screening Utilizing Mutant Mouse Embryonic Stem Cells Identifies Novel Radiation-Response Genes. PLoS ONE. 10(4). e0120534–e0120534. 4 indexed citations
5.
Wallis, Deeann, Kimberly Loesch, Qingan Sun, et al.. (2015). High-Throughput Differentiation and Screening of a Library of Mutant Stem Cell Clones Defines New Host-Based Genes Involved in Rabies Virus Infection. Stem Cells. 33(8). 2509–2522. 1 indexed citations
6.
Cescato, Renzo, Kimberly Loesch, Beatrice Waser, et al.. (2009). Agonist-Biased Signaling at the sst2A Receptor: The Multi-Somatostatin Analogs KE108 and SOM230 Activate and Antagonize Distinct Signaling Pathways. Molecular Endocrinology. 24(1). 240–249. 56 indexed citations
7.
Sylvia, L., Jing Jiang, Kimberly Loesch, et al.. (2007). A Growth Hormone Receptor Mutation Impairs Growth Hormone Autofeedback Signaling in Pituitary Tumors. Cancer Research. 67(15). 7505–7511. 49 indexed citations
8.
Loesch, Kimberly, Luqin Deng, Xiangdong Wang, et al.. (2007). Endoplasmic Reticulum-Associated Degradation of Growth Hormone Receptor in Janus Kinase 2-Deficient Cells. Endocrinology. 148(12). 5955–5965. 11 indexed citations
9.
Loesch, Kimberly, Luqin Deng, Xiangdong Wang, et al.. (2006). Janus Kinase 2 Influences Growth Hormone Receptor Metalloproteolysis. Endocrinology. 147(6). 2839–2849. 30 indexed citations
10.
Han, Xiaonan, Nancy M. Benight, B. O. Osuntokun, et al.. (2006). Tumour necrosis factor α blockade induces an anti-inflammatory growth hormone signalling pathway in experimental colitis. Gut. 56(1). 73–81. 40 indexed citations
11.
Han, Xiaonan, B. O. Osuntokun, Nancy M. Benight, et al.. (2006). Signal Transducer and Activator of Transcription 5b Promotes Mucosal Tolerance in Pediatric Crohn's Disease and Murine Colitis. American Journal Of Pathology. 169(6). 1999–2013. 21 indexed citations
12.
He, Kai, Kimberly Loesch, Xin Li, et al.. (2005). Janus Kinase 2 Enhances the Stability of the Mature Growth Hormone Receptor. Endocrinology. 146(11). 4755–4765. 34 indexed citations
13.
Loesch, Kimberly, Xiangdong Wang, Jing Jiang, et al.. (2002). A Role for Grb2-Associated Binder-1 in Growth Hormone Signaling. Endocrinology. 143(12). 4856–4867. 27 indexed citations
14.
Nokta, Mostafa, et al.. (2000). Neutralization Profiles of Sera from Human Immunodeficiency Virus (HIV)-Infected Individuals: Relationship to HIV Viral Load and CD4 Cell Count. Clinical and Diagnostic Laboratory Immunology. 7(3). 412–416. 2 indexed citations
15.
Nokta, Mostafa, et al.. (1997). Kinetics of Tumor Necrosis Factor α and Soluble TNFRII in HIV-Infected Patients Treated with a Triple Combination of Stavudine, Didanosine, and Hydroxyurea. AIDS Research and Human Retroviruses. 13(18). 1633–1638. 16 indexed citations
16.
Nokta, Mostafa, Mostafa Hassan, Kimberly Loesch, & Richard B. Pollard. (1996). Human cytomegalovirus-induced immunosuppression. Relationship to tumor necrosis factor-dependent release of arachidonic acid and prostaglandin E2 in human monocytes.. Journal of Clinical Investigation. 97(11). 2635–2641. 45 indexed citations
17.
Nokta, Mostafa, Md. Imtaiyaz Hassan, Kimberly Loesch, & Richard B. Pollard. (1995). HIV-Induced TNF-α Regulates Arachidonic Acid and PGE2 Release from HIV-Infected Mononuclear Phagocytes. Virology. 208(2). 590–600. 22 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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