Izabella Damm

663 total citations
19 papers, 423 citations indexed

About

Izabella Damm is a scholar working on Transplantation, Surgery and Nephrology. According to data from OpenAlex, Izabella Damm has authored 19 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Transplantation, 6 papers in Surgery and 5 papers in Nephrology. Recurrent topics in Izabella Damm's work include Renal Transplantation Outcomes and Treatments (10 papers), Organ Transplantation Techniques and Outcomes (5 papers) and Transplantation: Methods and Outcomes (4 papers). Izabella Damm is often cited by papers focused on Renal Transplantation Outcomes and Treatments (10 papers), Organ Transplantation Techniques and Outcomes (5 papers) and Transplantation: Methods and Outcomes (4 papers). Izabella Damm collaborates with scholars based in United States, Belgium and Mexico. Izabella Damm's co-authors include Minnie Sarwal, Tara K. Sigdel, Juliane Liberto, Reuben D. Sarwal, Joshua Yang, Walter L. Miller, Flavio Vincenti, Meng Kian Tee, Ningwu Huang and Zachary Demko and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Science Translational Medicine.

In The Last Decade

Izabella Damm

19 papers receiving 422 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Izabella Damm United States 11 272 205 85 74 68 19 423
Solomon Moshkevich United States 6 130 0.5× 133 0.6× 50 0.6× 136 1.8× 17 0.3× 11 343
Kazuya Kabei Japan 10 122 0.4× 78 0.4× 37 0.4× 44 0.6× 79 1.2× 38 325
Max Marquez Canada 14 170 0.6× 632 3.1× 22 0.3× 24 0.3× 41 0.6× 25 883
Ami Batchelder United States 11 110 0.4× 42 0.2× 92 1.1× 21 0.3× 45 0.7× 13 692
Daniel Foltys Germany 10 389 1.4× 495 2.4× 64 0.8× 29 0.4× 6 0.1× 22 729
Haruka Shinke Japan 6 58 0.2× 67 0.3× 84 1.0× 15 0.2× 150 2.2× 8 339
J.M. Álamo-Martínez Spain 16 109 0.4× 330 1.6× 123 1.4× 53 0.7× 5 0.1× 58 670
Klaus Burkhardt Germany 11 67 0.2× 95 0.5× 95 1.1× 11 0.1× 66 1.0× 20 455
Umberto Montin Italy 12 57 0.2× 147 0.7× 44 0.5× 27 0.4× 8 0.1× 27 307
F. Léger France 10 125 0.5× 55 0.3× 92 1.1× 18 0.2× 10 0.1× 11 476

Countries citing papers authored by Izabella Damm

Since Specialization
Citations

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

Fields of papers citing papers by Izabella Damm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Izabella Damm

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

All Works

19 of 19 papers shown
1.
Rashmi, Priyanka, Tara K. Sigdel, Izabella Damm, et al.. (2023). Perturbations in podocyte transcriptome and biological pathways induced by FSGS associated circulating factors. Annals of Translational Medicine. 11(9). 315–315. 6 indexed citations
2.
Sigdel, Tara K., Paul Fields, Juliane Liberto, et al.. (2022). Perturbations of the T-cell immune repertoire in kidney transplant rejection. Frontiers in Immunology. 13. 1012042–1012042. 3 indexed citations
3.
Rashmi, Priyanka, Swastika Sur, Tara K. Sigdel, et al.. (2021). Multiplexed droplet single-cell sequencing (Mux-Seq) of normal and transplant kidney. American Journal of Transplantation. 22(3). 876–885. 13 indexed citations
4.
Palmero, María José Guerra, Tara K. Sigdel, Izabella Damm, et al.. (2021). Use of the Tissue Common Rejection Module Score in Kidney Transplant as an Objective Measure of Allograft Inflammation. Frontiers in Immunology. 11. 614343–614343. 7 indexed citations
5.
Yang, Joshua, Reuben D. Sarwal, Tara K. Sigdel, et al.. (2020). A urine score for noninvasive accurate diagnosis and prediction of kidney transplant rejection. Science Translational Medicine. 12(535). 47 indexed citations
6.
Sigdel, Tara K., Paul Piehowski, Sudeshna Roy, et al.. (2020). NEAR-SINGLE-CELL PROTEOMICSPROFILING OF THE PROXIMAL TUBULAR AND GLOMERULUS OF THE NORMAL HUMAN KIDNEY. Transplantation. 104(S3). S40–S40. 3 indexed citations
7.
Sigdel, Tara K., Paul Piehowski, Sudeshna Roy, et al.. (2020). Near-Single-Cell Proteomics Profiling of the Proximal Tubular and Glomerulus of the Normal Human Kidney. Frontiers in Medicine. 7. 499–499. 16 indexed citations
8.
Schroeder, Andrew, Swastika Sur, Priyanka Rashmi, et al.. (2020). NOVEL HUMAN KIDNEY CELL SUBSETS IDENTIFIED BY MUX-SEQ. Transplantation. 104(S3). S85–S85. 5 indexed citations
9.
Yang, Joshua, Reuben D. Sarwal, Tara K. Sigdel, et al.. (2020). A URINE SCORE FOR NON-INVASIVE ACCURATE DIAGNOSIS AND PREDICTION OF KIDNEY TRANSPLANT REJECTION. Transplantation. 104(S3). S128–S128. 1 indexed citations
10.
Sigdel, Tara K., Joshua Yang, Oriol Bestard, et al.. (2019). A urinary Common Rejection Module (uCRM) score for non-invasive kidney transplant monitoring. PLoS ONE. 14(7). e0220052–e0220052. 28 indexed citations
11.
Yang, Joshua, Stijn E. Verleden, Bart Vanaudenaerde, et al.. (2019). Cell-Free DNA and CXCL10 Derived from Bronchoalveolar Lavage Predict Lung Transplant Survival. Journal of Clinical Medicine. 8(2). 241–241. 25 indexed citations
12.
Watson, Drew, Joshua Yang, Reuben D. Sarwal, et al.. (2019). A Novel Multi-Biomarker Assay for Non-Invasive Quantitative Monitoring of Kidney Injury. Journal of Clinical Medicine. 8(4). 499–499. 30 indexed citations
13.
Watson, Drew, Joshua Yang, Reuben D. Sarwal, et al.. (2019). A Novel Multi-Biomarker Assay for Non-Invasive Quantitative Monitoring of Kidney Injury. eScholarship (California Digital Library). 1 indexed citations
14.
Sigdel, Tara K., T Constantin, Sarah A. Prins, et al.. (2018). Optimizing Detection of Kidney Transplant Injury by Assessment of Donor-Derived Cell-Free DNA via Massively Multiplex PCR. Journal of Clinical Medicine. 8(1). 19–19. 142 indexed citations
15.
Sacreas, Annelore, Joshua Yang, Bart Vanaudenaerde, et al.. (2018). The common rejection module in chronic rejection post lung transplantation. PLoS ONE. 13(10). e0205107–e0205107. 25 indexed citations
16.
Sigdel, Tara K., Oriol Bestard, Tim Q. Tran, et al.. (2015). A Computational Gene Expression Score for Predicting Immune Injury in Renal Allografts. PLoS ONE. 10(9). e0138133–e0138133. 29 indexed citations
17.
Legeza, Balázs, et al.. (2014). Quantitation of CYP24A1 Enzymatic Activity With a Simple Two-Hybrid System. The Journal of Clinical Endocrinology & Metabolism. 100(2). 684–688. 11 indexed citations
18.
Orwoll, Benjamin, et al.. (2014). O-080 Elevated Soluble Thrombomodulin Is Associated With Increased Mortality Among Children With Indirect Acute Respiratory Distress Syndrome (ards). Archives of Disease in Childhood. 99(Suppl 2). A54–A54. 1 indexed citations
19.
Tee, Meng Kian, Ningwu Huang, Izabella Damm, & Walter L. Miller. (2011). Transcriptional Regulation of the Human P450 Oxidoreductase Gene: Hormonal Regulation and Influence of Promoter Polymorphisms. Molecular Endocrinology. 25(5). 715–731. 30 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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