W Hoelle

517 total citations
8 papers, 384 citations indexed

About

W Hoelle is a scholar working on Hematology, Immunology and Molecular Biology. According to data from OpenAlex, W Hoelle has authored 8 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Hematology, 3 papers in Immunology and 2 papers in Molecular Biology. Recurrent topics in W Hoelle's work include Hematopoietic Stem Cell Transplantation (8 papers), Acute Myeloid Leukemia Research (3 papers) and T-cell and B-cell Immunology (2 papers). W Hoelle is often cited by papers focused on Hematopoietic Stem Cell Transplantation (8 papers), Acute Myeloid Leukemia Research (3 papers) and T-cell and B-cell Immunology (2 papers). W Hoelle collaborates with scholars based in Germany, United States and Ireland. W Hoelle's co-authors include Rupert Handgretinger, Peter Bader, Peter Lang, Hermann Kreyenberg, Thomas Klingebiel, James F. Beck, Bernhard Kremens, Johann Greil, Bernd Gruhn and Gregor Dueckers and has published in prestigious journals such as Journal of Clinical Oncology, Bone Marrow Transplantation and Blood Cells Molecules and Diseases.

In The Last Decade

W Hoelle

8 papers receiving 377 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
W Hoelle Germany	6	349	122	111	85	81	8	384
H Daxberger Austria	7	416 1.2×	50 0.4×	118 1.1×	45 0.5×	89 1.1×	7	472
K Miyamura Japan	9	328 0.9×	112 0.9×	70 0.6×	60 0.7×	29 0.4×	15	366
Hai-Lin Wang United States	5	317 0.9×	90 0.7×	93 0.8×	62 0.7×	41 0.5×	5	372
K-W Sykora Germany	8	279 0.8×	84 0.7×	122 1.1×	43 0.5×	41 0.5×	9	351
Laurence Pearce United Kingdom	7	206 0.6×	40 0.3×	80 0.7×	29 0.3×	31 0.4×	10	288
Kai-Yan Liu China	2	362 1.0×	97 0.8×	164 1.5×	113 1.3×	17 0.2×	3	451
Brigitte Bär Netherlands	12	379 1.1×	63 0.5×	157 1.4×	95 1.1×	21 0.3×	16	438
Alan W. Lankester United Kingdom	7	332 1.0×	255 2.1×	56 0.5×	70 0.8×	79 1.0×	7	394
Ed Copelan United States	8	221 0.6×	66 0.5×	37 0.3×	70 0.8×	34 0.4×	13	324
D.C. Setubal Brazil	9	302 0.9×	85 0.7×	71 0.6×	82 1.0×	33 0.4×	21	390

Countries citing papers authored by W Hoelle

Since Specialization

Citations

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

Fields of papers citing papers by W Hoelle

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of W Hoelle

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

All Works

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8 of 8 papers shown

Lang, Peter, Ingo Mueller, Johann Greil, et al.. (2007). Retransplantation with stem cells from mismatched related donors after graft rejection in pediatric patients. Blood Cells Molecules and Diseases. 40(1). 33–39. 34 indexed citations

Schumm, Michael, Tobias Feuchtinger, Matthias Pfeiffer, et al.. (2007). Flow cytometry with anti HLA-antibodies: a simple but highly sensitive method for monitoring chimerism and minimal residual disease after HLA-mismatched stem cell transplantation. Bone Marrow Transplantation. 39(12). 767–773. 35 indexed citations

Willasch, André, W Hoelle, Hermann Kreyenberg, et al.. (2006). Outcome of allogeneic stem cell transplantation in children with non-malignant diseases.. PubMed. 91(6). 788–94. 21 indexed citations

Bader, Peter, Hermann Kreyenberg, W Hoelle, et al.. (2004). Increasing mixed chimerism defines a high-risk group of childhood acute myelogenous leukemia patients after allogeneic stem cell transplantation where pre-emptive immunotherapy may be effective. Bone Marrow Transplantation. 33(8). 815–821. 74 indexed citations

Bader, Peter, Hermann Kreyenberg, W Hoelle, et al.. (2004). Increasing Mixed Chimerism Is an Important Prognostic Factor for Unfavorable Outcome in Children With Acute Lymphoblastic Leukemia After Allogeneic Stem-Cell Transplantation: Possible Role For Pre-Emptive Immunotherapy?. Journal of Clinical Oncology. 22(9). 1696–1705. 190 indexed citations

Hoelle, W, Hermann Kreyenberg, Peter Lang, et al.. (2004). Haematopoietic chimerism and donor lymphocyte infusion after allogeneic SCT in children with non-malignant disease: is there an option to improve outcome?. Klinische Pädiatrie. 216(3). 1 indexed citations

Hoelle, W, James F. Beck, Gregor Dueckers, et al.. (2003). Clinical relevance of serial quantitative analysis of hematopoietic chimerism after allogeneic stem cell transplantation in children for severe aplastic anemia. Bone Marrow Transplantation. 33(2). 219–223. 25 indexed citations

Bader, Peter, Gregor Dückers, Hermann Kreyenberg, et al.. (2002). Monitoring of donor cell chimerism for the detection of relapse and early immunotherapeutic intervention in acute lymphoblastic leukemias.. PubMed. 81 Suppl 2. S25–7. 4 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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