Inga Gurevich

824 total citations
10 papers, 626 citations indexed

About

Inga Gurevich is a scholar working on Molecular Biology, Hematology and Surgery. According to data from OpenAlex, Inga Gurevich has authored 10 papers receiving a total of 626 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Hematology and 2 papers in Surgery. Recurrent topics in Inga Gurevich's work include Acute Myeloid Leukemia Research (2 papers), Metabolism, Diabetes, and Cancer (2 papers) and Adenosine and Purinergic Signaling (1 paper). Inga Gurevich is often cited by papers focused on Acute Myeloid Leukemia Research (2 papers), Metabolism, Diabetes, and Cancer (2 papers) and Adenosine and Purinergic Signaling (1 paper). Inga Gurevich collaborates with scholars based in United States, Sweden and Australia. Inga Gurevich's co-authors include Boris Draznin, Cecilia C. Low Wang, Gulayse Ince-Dunn, Shu-Ching Hu, Hiroyuki Aizawa, Kathryn Bobb, Mitra Cowan, Karthik Balakrishnan, Anirvan Ghosh and Marc‐André Cornier and has published in prestigious journals such as Science, Journal of Biological Chemistry and Diabetes.

In The Last Decade

Inga Gurevich

9 papers receiving 613 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Inga Gurevich United States 7 295 192 140 114 63 10 626
Romina Ficarella Italy 16 345 1.2× 271 1.4× 53 0.4× 36 0.3× 21 0.3× 33 800
Leon Testers Netherlands 6 342 1.2× 115 0.6× 229 1.6× 167 1.5× 14 0.2× 7 780
M. Wakui Japan 14 500 1.7× 165 0.9× 61 0.4× 222 1.9× 20 0.3× 37 831
Misao Yamamoto Japan 16 249 0.8× 78 0.4× 57 0.4× 90 0.8× 20 0.3× 40 694
Lucia Mičutková Slovakia 15 340 1.2× 174 0.9× 74 0.5× 70 0.6× 8 0.1× 29 660
E. Orsó Germany 14 246 0.8× 72 0.4× 78 0.6× 79 0.7× 11 0.2× 26 612
Kathleen A. Elias United States 14 222 0.8× 94 0.5× 335 2.4× 85 0.7× 13 0.2× 29 672
Toru Nanmoku Japan 16 189 0.6× 61 0.3× 75 0.5× 84 0.7× 28 0.4× 37 578
Timothy J. Schoen United States 13 375 1.3× 36 0.2× 190 1.4× 94 0.8× 45 0.7× 23 676
Charlotte Lee United States 9 261 0.9× 178 0.9× 50 0.4× 33 0.3× 17 0.3× 13 914

Countries citing papers authored by Inga Gurevich

Since Specialization
Citations

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

Fields of papers citing papers by Inga Gurevich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Inga Gurevich

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

All Works

10 of 10 papers shown
1.
2.
Challagundla, Pramoda, Jeffrey L. Jorgensen, Rashmi Kanagal‐Shamanna, et al.. (2014). Utility of Quantitative Flow Cytometry Immunophenotypic Analysis of CD5 Expression in Small B-Cell Neoplasms. Archives of Pathology & Laboratory Medicine. 138(7). 903–909. 10 indexed citations
3.
Gurevich, Inga, Raja Luthra, Sergej Konoplev, et al.. (2011). Refractory Anemia With Ring Sideroblasts Associated With Marked Thrombocytosis. American Journal of Clinical Pathology. 135(3). 398–403. 4 indexed citations
4.
Lu, Gary, et al.. (2009). t(10; 12) (q24; p13) as the sole abnormality in a case with refractory acute myeloid leukemia: The first case report and literature review.. PubMed. 41(4). 480–3. 1 indexed citations
5.
Luder, Anthony, et al.. (2007). Chronic Lung Disease and Cystic Fibrosis Phenotype in Prolidase Deficiency: A Newly Recognized Association. The Journal of Pediatrics. 150(6). 656–658.e1. 6 indexed citations
6.
Cornier, Marc‐André, Daniel H. Bessesen, Inga Gurevich, J. Wayne Leitner, & Boris Draznin. (2006). Nutritional upregulation of p85α expression is an early molecular manifestation of insulin resistance. Diabetologia. 49(4). 748–754. 26 indexed citations
7.
Cornier, Marc‐André, William T. Donahoo, Rocio I. Pereira, et al.. (2005). Insulin Sensitivity Determines the Effectiveness of Dietary Macronutrient Composition on Weight Loss in Obese Women. Obesity Research. 13(4). 703–709. 105 indexed citations
8.
Barbour, Linda A., Shaikh Mizanoor Rahman, Inga Gurevich, et al.. (2005). Increased P85α Is a Potent Negative Regulator of Skeletal Muscle Insulin Signaling and Induces in Vivo Insulin Resistance Associated with Growth Hormone Excess. Journal of Biological Chemistry. 280(45). 37489–37494. 112 indexed citations
9.
Aizawa, Hiroyuki, Shu-Ching Hu, Kathryn Bobb, et al.. (2004). Dendrite Development Regulated by CREST, a Calcium-Regulated Transcriptional Activator. Science. 303(5655). 197–202. 214 indexed citations
10.
Wang, Cecilia C. Low, Inga Gurevich, & Boris Draznin. (2003). Insulin Affects Vascular Smooth Muscle Cell Phenotype and Migration Via Distinct Signaling Pathways. Diabetes. 52(10). 2562–2569. 148 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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