Bridget Kramer

986 total citations · 1 hit paper
8 papers, 723 citations indexed

About

Bridget Kramer is a scholar working on Molecular Biology, Immunology and Surgery. According to data from OpenAlex, Bridget Kramer has authored 8 papers receiving a total of 723 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Immunology and 2 papers in Surgery. Recurrent topics in Bridget Kramer's work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (2 papers), IL-33, ST2, and ILC Pathways (2 papers) and Congenital heart defects research (2 papers). Bridget Kramer is often cited by papers focused on Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (2 papers), IL-33, ST2, and ILC Pathways (2 papers) and Congenital heart defects research (2 papers). Bridget Kramer collaborates with scholars based in United States, Switzerland and Australia. Bridget Kramer's co-authors include Michael J. Bamshad, C. Geoffrey Woods, Rob de Waal, Griet Van Buggenhout, Daniel A. Haber, Jacopo Celli, Pascal H. G. Duijf, Ben C.J. Hamel, Ruth Newbury‐Ecob and Gert Vriend and has published in prestigious journals such as Cell, Journal of Neuroscience and The American Journal of Human Genetics.

In The Last Decade

Bridget Kramer

8 papers receiving 702 citations

Hit Papers

Heterozygous Germline Mutations in the p53 Homolog p63 Ar... 1999 2026 2008 2017 1999 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bridget Kramer United States 6 536 323 246 92 62 8 723
Smitha R. Georgy Australia 13 372 0.7× 116 0.4× 83 0.3× 9 0.1× 5 0.1× 21 566
Ilse Chudoba Germany 16 436 0.8× 71 0.2× 410 1.7× 15 0.2× 5 0.1× 36 858
Shunsuke Kimura Japan 13 203 0.4× 71 0.2× 144 0.6× 7 0.1× 13 0.2× 40 476
Christine R. Bryke United States 13 268 0.5× 102 0.3× 229 0.9× 4 0.0× 4 0.1× 31 529
Elena Savelieva United States 8 317 0.6× 238 0.7× 83 0.3× 49 0.5× 9 540
Karine G. Harutyunyan United States 10 315 0.6× 42 0.1× 119 0.5× 20 0.2× 2 0.0× 21 598
Cathy M. Price United Kingdom 10 437 0.8× 224 0.7× 84 0.3× 37 0.4× 14 827
Kathryn Koprivnikar United States 7 298 0.6× 333 1.0× 119 0.5× 20 0.2× 9 541
R Jenkins United States 2 518 1.0× 153 0.5× 105 0.4× 6 0.1× 2 0.0× 3 607
H Salazar United States 12 368 0.7× 120 0.4× 133 0.5× 19 0.2× 16 765

Countries citing papers authored by Bridget Kramer

Since Specialization
Citations

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

Fields of papers citing papers by Bridget Kramer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bridget Kramer

This figure shows the co-authorship network connecting the top 25 collaborators of Bridget Kramer. A scholar is included among the top collaborators of Bridget Kramer 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 Bridget Kramer. Bridget Kramer 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.
Poole, Jill A., Aaron Schwab, Geoffrey M. Thiele, et al.. (2024). Unique transcriptomic profile of peripheral blood monocytes in rheumatoid arthritis-associated interstitial lung disease. Lara D. Veeken. 64(SI). SI37–SI46. 2 indexed citations
2.
Androsenko, Maria, Bridget Kramer, Mary T. Brophy, et al.. (2024). Comparison of Gout Flares With the Initiation of Treat‐to‐Target Allopurinol and Febuxostat: A Post‐Hoc Analysis of a Randomized Multicenter Trial. Arthritis & Rheumatology. 76(10). 1552–1559. 1 indexed citations
3.
O’Dell, James R., Maria Androsenko, Mary T. Brophy, et al.. (2023). Determinants of Achieving Serum Urate Goal with Treat‐to‐Target Urate‐Lowering Therapy in Gout. Arthritis & Rheumatology. 76(4). 638–646. 8 indexed citations
4.
Poole, Jill A., Kathryn Cole, Geoffrey M. Thiele, et al.. (2023). Expansion of distinct peripheral blood myeloid cell subpopulations in patients with rheumatoid arthritis-associated interstitial lung disease. International Immunopharmacology. 127. 111330–111330. 6 indexed citations
5.
Uveges, Thomas E., et al.. (2002). Intron 1 Is Required for Cell Type-Specific, But Not Injury-Responsive, Peripherin Gene Expression. Journal of Neuroscience. 22(18). 7959–7967. 9 indexed citations
6.
Bamshad, Michael J., Thanh Le, W. Scott Watkins, et al.. (1999). The Spectrum of Mutations in TBX3: Genotype/Phenotype Relationship in Ulnar-Mammary Syndrome. The American Journal of Human Genetics. 64(6). 1550–1562. 146 indexed citations
7.
Celli, Jacopo, Pascal H. G. Duijf, Ben C.J. Hamel, et al.. (1999). Heterozygous Germline Mutations in the p53 Homolog p63 Are the Cause of EEC Syndrome. Cell. 99(2). 143–153. 536 indexed citations breakdown →
8.
Bamshad, Michael J., W. Scott Watkins, Amy D. Roeder, et al.. (1999). Reconstructing the History of Human Limb Development: Lessons from Birth Defects. Pediatric Research. 45(3). 291–299. 15 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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