D. Geißler

2.1k citations
67 papers · 1.4k indexed · h-index 20

Impact in

  • Hematology top 2%
    • Acute Myeloid Leukemia Research
    • Hematopoietic Stem Cell Transplantation
    • Platelet Disorders and Treatments
  • Genetics top 5%
    • Blood disorders and treatments

Papers in

    • Acute Myeloid Leukemia Research 15
    • Hematopoietic Stem Cell Transplantation 8
    • Chronic Myeloid Leukemia Treatments 8
    • Platelet Disorders and Treatments 7
    • Chronic Lymphocytic Leukemia Research 8
    • Blood disorders and treatments 5

D. Geißler

64 papers receiving 1.3k citations

Peers

D. Geißler
Comparison fields: 5 of 104
  • Hematology 514
  • Genetics 205
  • Immunology and Allergy 99
  • Biological Psychiatry 30
  • Immunology 221
Replace Takuroh Imamura with:
Takuroh Imamura Japan
Mark Layton United Kingdom
Karin Potthoff Germany
Yasuhiro Maeda Japan
S Accardo Italy
Paul F. Mercer United Kingdom
Chika Kawasaki Japan
Joan H.F. Drosopoulos United States
Uğur Muşabak Türkiye
Hans Worthmann Germany
D. Geißler relative to Takuroh Imamura Japan Takuroh Imamura's profile →
Citations per field
00.5×
Takuroh Imamura · 1×
Citations per year

Countries citing papers authored by D. Geißler

Since Specialization
Citations

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

Fields of papers citing papers by D. Geißler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside D. Geißler, 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 D. Geißler Line = papers co-authored together D. Geißler links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201811
2 201444
3 201462
4 201247
5 20121
6 20123
7 20086
8 199843
9 199327
10 199332
11 199316
12 199127
13 199144
14 199016
15 199064
16 199043
17 199069
18 198911
19 19862
20 19859

About D. Geißler

D. Geißler is a scholar working on Hematology, Genetics, Immunology, Nephrology and Physiology, having authored 67 papers that have together received 1.4k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (15 papers), Chronic Lymphocytic Leukemia Research (8 papers), Hematopoietic Stem Cell Transplantation (8 papers), Chronic Myeloid Leukemia Treatments (8 papers), Erythrocyte Function and Pathophysiology (7 papers), Platelet Disorders and Treatments (7 papers), Blood disorders and treatments (5 papers) and Schizophrenia research and treatment (5 papers). The work is most often cited by research in Hematology (514 citations), Genetics (205 citations), Immunology and Allergy (99 citations), Biological Psychiatry (30 citations) and Immunology (221 citations). D. Geißler has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include H Braunsteiner, W. Pipam, G Konwalinka, G. Bernatzky, Rudolf Likar, Manfred Herold, Michael Schäfer, H. van der Schalk, Reinhard Sittl and Paul König. Their work appears in journals such as British Journal of Haematology, Leukemia Research, Annals of Hematology, Blood and Acta Haematologica.

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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