Iwona Auer-Grzesiak

453 total citations
7 papers, 342 citations indexed

About

Iwona Auer-Grzesiak is a scholar working on Immunology, Hematology and Pathology and Forensic Medicine. According to data from OpenAlex, Iwona Auer-Grzesiak has authored 7 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 4 papers in Hematology and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Iwona Auer-Grzesiak's work include Hematopoietic Stem Cell Transplantation (4 papers), Immune Cell Function and Interaction (4 papers) and T-cell and B-cell Immunology (3 papers). Iwona Auer-Grzesiak is often cited by papers focused on Hematopoietic Stem Cell Transplantation (4 papers), Immune Cell Function and Interaction (4 papers) and T-cell and B-cell Immunology (3 papers). Iwona Auer-Grzesiak collaborates with scholars based in Canada and United States. Iwona Auer-Grzesiak's co-authors include Douglas A. Stewart, Joanne Luider, Adnan Mansoor, Mingjie Zhang, Christopher N. Andrews, Jan Storek, Mette Hoegh-Petersen, Peter Podgorny, Alejandra Ugarte-Torres and Yiping Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and Frontiers in Immunology.

In The Last Decade

Iwona Auer-Grzesiak

7 papers receiving 338 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Iwona Auer-Grzesiak Canada	6	163	163	89	81	45	7	342
S. J. Kim South Korea	7	81 0.5×	116 0.7×	127 1.4×	123 1.5×	26 0.6×	12	280
Kazutoshi Aoyama Japan	9	254 1.6×	304 1.9×	37 0.4×	135 1.7×	32 0.7×	28	527
Lien De Somer Belgium	12	199 1.2×	288 1.8×	22 0.2×	63 0.8×	31 0.7×	34	509
Y Enomoto Japan	11	148 0.9×	37 0.2×	67 0.8×	43 0.5×	17 0.4×	34	316
Rocco Pastano Italy	10	177 1.1×	33 0.2×	64 0.7×	66 0.8×	15 0.3×	19	285
Tanja Telieps Germany	6	62 0.4×	192 1.2×	29 0.3×	73 0.9×	34 0.8×	10	306
Gillian Corbett New Zealand	7	37 0.2×	51 0.3×	31 0.3×	30 0.4×	86 1.9×	11	194
Renata Žunec Croatia	11	103 0.6×	201 1.2×	8 0.1×	30 0.4×	39 0.9×	68	423
Phillips Jh France	6	54 0.3×	254 1.6×	92 1.0×	83 1.0×	20 0.4×	15	355
Motoko Koyama United States	8	291 1.8×	269 1.7×	15 0.2×	99 1.2×	29 0.6×	13	491

Countries citing papers authored by Iwona Auer-Grzesiak

Since Specialization

Citations

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

Fields of papers citing papers by Iwona Auer-Grzesiak

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Iwona Auer-Grzesiak. 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 Iwona Auer-Grzesiak. The network helps show where Iwona Auer-Grzesiak may publish in the future.

Co-authorship network of co-authors of Iwona Auer-Grzesiak

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

All Works

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7 of 7 papers shown

1.

Podgorny, Peter, Yiping Liu, Poonam Dharmani‐Khan, et al.. (2015). Low Counts of B Cells, Natural Killer Cells, Monocytes, Dendritic Cells, Basophils, and Eosinophils are Associated with Postengraftment Infections after Allogeneic Hematopoietic Cell Transplantation. Biology of Blood and Marrow Transplantation. 22(1). 37–46. 16 indexed citations

2.

Podgorny, Peter, Yiping Liu, Poonam Dharmani‐Khan, et al.. (2014). Immune Cell Subset Counts Associated with Graft-versus-Host Disease. Biology of Blood and Marrow Transplantation. 20(4). 450–462. 44 indexed citations

3.

Zuccolo, Jonathan, Lili Deng, Ratna Sanyal, et al.. (2013). Expression of MS4A and TMEM176 Genes in Human B Lymphocytes. Frontiers in Immunology. 4. 195–195. 40 indexed citations

4.

Auer-Grzesiak, Iwona, et al.. (2012). Increasing Incidence Rates, Distribution and Histological Characteristics of Primary Gastrointestinal Non-Hodgkin Lymphoma in a North American Population. SHILAP Revista de lepidopterología. 26(7). 452–456. 92 indexed citations

5.

Hoegh-Petersen, Mette, Yiping Liu, Peter Podgorny, et al.. (2012). Immune reconstitution after anti-thymocyte globulin-conditioned hematopoietic cell transplantation. Cytotherapy. 14(10). 1258–1275. 126 indexed citations

6.

Hoegh-Petersen, Mette, Yiping Liu, Peter Podgorny, et al.. (2011). Immune Reconstitution After Antithymocyte Globulin (ATG)-Conditioned Hematopoietic Cell Transplantation (HCT). Blood. 118(21). 1981–1981. 5 indexed citations

7.

Zuccolo, Jonathan, Ratna Sanyal, Joanne Luider, et al.. (2010). Quantification of CD20 mRNA and protein levels in chronic lymphocytic leukemia suggests a post-transcriptional defect. Leukemia Research. 34(12). 1670–1673. 19 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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