Elke Dammann

895 citations
36 papers · 570 · h-index 16

Impact in

  • Hematology top 5%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
    • Renal Transplantation Outcomes and Treatments

Papers in

    • Hematopoietic Stem Cell Transplantation 22
    • Acute Myeloid Leukemia Research 15
    • Polyomavirus and related diseases 5

Elke Dammann

36 papers receiving 561 citations

Peers

Elke Dammann
Comparison fields: 5 of 61
  • Hematology 277
  • Transplantation 43
  • Epidemiology 176
  • Oncology 132
  • Immunology 98
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Jared Klein United States
Mary Sartor Australia
T Matsuyama Japan
Chun-Choo Kim South Korea
Nina K. Steckel Germany
Karl G. Blume United States
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Citations per field
00.5×3.8×
Jared Klein · 1×
Citations per year

Countries citing papers authored by Elke Dammann

Since Specialization
Citations

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

Fields of papers citing papers by Elke Dammann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Elke Dammann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Elke Dammann Line = papers co-authored together Elke Dammann links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Diagnostic value of procalcitonin serum levels in comparison with C-reactive protein in allogeneic stem cell transplantation.
200246
2 201140
3 200240
4 201140
5 201039
6 201838
7 201838
8 201227
9 200126
10 201022
11 202418
12 201717
13 200817
14 201216
15 200416
16 201015
17 202213
18 201013
19 201312
20 200912

About Elke Dammann

Elke Dammann is a scholar working on Hematology, Oncology, Epidemiology, Public Health, Environmental and Occupational Health and Immunology, having authored 36 papers that have together received 570 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (22 papers), Acute Myeloid Leukemia Research (15 papers), Cytomegalovirus and herpesvirus research (8 papers), Acute Lymphoblastic Leukemia research (6 papers), Polyomavirus and related diseases (5 papers), Immune Cell Function and Interaction (5 papers), Cancer Genomics and Diagnostics (4 papers) and T-cell and B-cell Immunology (3 papers). The work is most often cited by research in Hematology (277 citations), Transplantation (43 citations), Epidemiology (176 citations), Oncology (132 citations) and Immunology (98 citations). Elke Dammann has collaborated with scholars based in Germany, Switzerland and Netherlands. Frequent co-authors include Arnold Ganser, Michael Stadler, Matthias Eder, Lothar Hambach, Bernd Hertenstein, Stefanie Buchholz, Eva M. Weissinger, Christian Koenecke, Gernot Beutel and Tina Ganzenmueller. Their work appears in journals such as Blood, Bone Marrow Transplantation, Annals of Hematology, PLoS ONE and International Journal of Hematology.

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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