Jennifer Kaivers

555 total citations
22 papers, 172 citations indexed

About

Jennifer Kaivers is a scholar working on Hematology, Genetics and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Jennifer Kaivers has authored 22 papers receiving a total of 172 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Hematology, 7 papers in Genetics and 5 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Jennifer Kaivers's work include Acute Myeloid Leukemia Research (21 papers), Hematopoietic Stem Cell Transplantation (9 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (6 papers). Jennifer Kaivers is often cited by papers focused on Acute Myeloid Leukemia Research (21 papers), Hematopoietic Stem Cell Transplantation (9 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (6 papers). Jennifer Kaivers collaborates with scholars based in Germany, Switzerland and Austria. Jennifer Kaivers's co-authors include Guido Kobbe, Ulrich Germing, Rainer Haas, Thomas Schroeder, Norbert Gattermann, Christina Rautenberg, Barbara Hildebrandt, Michael Lauseker, Esther Schuler and Anna Jauch and has published in prestigious journals such as Blood, Cancer and Scientific Reports.

In The Last Decade

Jennifer Kaivers

19 papers receiving 166 citations

Peers

Jennifer Kaivers
Jennifer Kaivers
Citations per year, relative to Jennifer Kaivers Jennifer Kaivers (= 1×) peers Véronique Harrivel

Countries citing papers authored by Jennifer Kaivers

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Kaivers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Kaivers

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

All Works

20 of 20 papers shown
1.
Jäger, Paul, Christina Rautenberg, Jennifer Kaivers, et al.. (2023). Allogeneic hematopoietic stem cell transplantation and pre-transplant strategies in patients with NPM1-mutated acute myeloid leukemia: a single center experience. Scientific Reports. 13(1). 10774–10774. 2 indexed citations
2.
Hildebrandt, Barbara, Dagmar Wieczorek, Esther Schuler, et al.. (2022). Clinical and Cytogenetic Characterization of Early and Late Relapses in Patients Allografted for Myeloid Neoplasms with a Myelodysplastic Component. Cancers. 14(24). 6244–6244. 2 indexed citations
3.
Rautenberg, Christina, Michael Lauseker, Jennifer Kaivers, et al.. (2021). Prognostic impact of pretransplant measurable residual disease assessed by peripheral blood WT1‐mRNA expression in patients with AML and MDS. European Journal Of Haematology. 107(2). 283–292. 15 indexed citations
4.
Lauseker, Michael, Jennifer Kaivers, Barbara Hildebrandt, et al.. (2021). Influence of platelet count at diagnosis and during the course of disease on prognosis in MDS patients. Annals of Hematology. 100(10). 2575–2584. 4 indexed citations
5.
Kaivers, Jennifer, Jürgen Peters, Christina Rautenberg, et al.. (2021). The WHO 2016 diagnostic criteria for Acute Myeloid leukemia with myelodysplasia related changes (AML-MRC) produce a very heterogeneous entity: A retrospective analysis of the FAB subtype RAEB-T. Leukemia Research. 112. 106757–106757. 3 indexed citations
6.
Nachtkamp, Kathrin, Andrea Kündgen, Thomas Schroeder, et al.. (2021). Eligibility for clinical trials is unsatisfactory for patients with myelodysplastic syndromes, even at a tertiary referral center. Leukemia Research. 108. 106611–106611. 4 indexed citations
7.
Kaivers, Jennifer, Kathrin Nachtkamp, Rainer Haas, et al.. (2021). Guidelines for Myelodysplastic Syndromes: Converting Evidence into Action?. International Journal of Environmental Research and Public Health. 18(14). 7629–7629. 6 indexed citations
8.
Rautenberg, Christina, Mustafa Kondakci, Arnd Nusch, et al.. (2021). Myelodysplastische Syndrome. 16(3). 112–121.
9.
Nachtkamp, Kathrin, Mustafa Kondakci, Thomas Schroeder, et al.. (2020). Analysis of the impact of adherence to guidelines and expert advice in patients with myelodysplastic syndromes. Annals of Hematology. 100(2). 455–463. 6 indexed citations
10.
Kaivers, Jennifer, Esther Schuler, Barbara Hildebrandt, et al.. (2020). Improving the accuracy of prognostication in chronic myelomonocytic leukemia. Expert Review of Anticancer Therapy. 20(8). 703–714.
11.
Germing, Ulrich, Thomas Schroeder, Jennifer Kaivers, et al.. (2019). Novel therapies in low- and high-risk myelodysplastic syndrome. Expert Review of Hematology. 12(10). 893–908. 14 indexed citations
12.
Silzle, Tobias, Sabine Blum, Esther Schuler, et al.. (2019). Lymphopenia at diagnosis is highly prevalent in myelodysplastic syndromes and has an independent negative prognostic value in IPSS-R-low-risk patients. Blood Cancer Journal. 9(8). 63–63. 17 indexed citations
13.
Germing, Ulrich, Guido Kobbe, Jennifer Kaivers, et al.. (2019). EASIX for prediction of survival in lower-risk myelodysplastic syndromes. Blood Cancer Journal. 9(11). 85–85. 33 indexed citations
14.
Rautenberg, Christina, Jennifer Kaivers, Ulrich Germing, et al.. (2019). Daratumumab for treatment of pure red cell aplasia after allogeneic stem cell transplantation. Bone Marrow Transplantation. 55(6). 1191–1193. 16 indexed citations
15.
Silzle, Tobias, Esther Schuler, Jennifer Kaivers, et al.. (2019). PS1340 ABSOLUTE MONOCYTE COUNT AFFECTS PROGNOSIS IN MYELODYSPLASTIC SYNDROMES INDEPENDENTLY FROM THE IPSS‐R. HemaSphere. 3(S1). 612–612.
16.
Rautenberg, Christina, Jennifer Kaivers, Ulrich Germing, et al.. (2019). Spontaneous remission in a patient with very late relapse of acute myeloid leukemia 17 years after allogeneic blood stem cell transplantation. European Journal Of Haematology. 103(2). 131–133. 6 indexed citations
17.
Kaivers, Jennifer, Michael Lauseker, Barbara Hildebrandt, et al.. (2018). The IPSS-R has prognostic impact in untreated patients with MDS del(5q). Leukemia Research. 72. 27–33. 3 indexed citations
18.
Neukirchen, Judith, Michael Lauseker, Barbara Hildebrandt, et al.. (2017). Cytogenetic clonal evolution in myelodysplastic syndromes is associated with inferior prognosis. Cancer. 123(23). 4608–4616. 17 indexed citations
19.
Park, Sophie, Andréa Toma, Charikleia Kelaïdi, et al.. (2017). Outcome of Lower-Risk Patients with Myelodysplastic Syndromes without 5Q Deletion after Failure of Erythropoiesis Stimulating Agents. Leukemia Research. 55. S33–S33. 1 indexed citations
20.
Xicoy, Blanca, Jennifer Kaivers, Ulrich Germing, et al.. (2016). Analysis of Transfusion Dependency Development and Disease Evolution in Patients with MDS with 5q- and without Transfusion Needs at Diagnosis. Blood. 128(22). 3180–3180. 1 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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