G Geissler

642 citations
10 papers · 487 indexed · h-index 8

Impact in

    • Renal Transplantation Outcomes and Treatments
  • Hematology top 2%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research

Papers in

    • Renal Transplantation Outcomes and Treatments 2
    • Hematopoietic Stem Cell Transplantation 5
    • Acute Myeloid Leukemia Research 3
    • Chronic Myeloid Leukemia Treatments 2

G Geissler

10 papers receiving 477 citations

Peers

G Geissler
Comparison fields: 5 of 49
  • Transplantation 95
  • Hematology 388
  • Immunology 118
  • Genetics 52
  • Oncology 97
Replace Phil Darbyshire with:
Phil Darbyshire United Kingdom
Claudia Rutt Germany
Fabiana Ostronoff United States
Gabriele Prange‐Krex Germany
C-K Min South Korea
T Furlong United States
B-S Cho South Korea
K-S Eom South Korea
M. Sykes United States
Mark T. Vander Lugt United States
G Geissler relative to Phil Darbyshire United Kingdom Phil Darbyshire's profile →
Citations per field
00.5×3.5×
Phil Darbyshire · 1×
Citations per year

Countries citing papers authored by G Geissler

Since Specialization
Citations

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

Fields of papers citing papers by G Geissler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 201825
2 20174
3 200645
4 20053
5 2001173
6
Dose-reduced conditioning and allogeneic hematopoietic stem cell transplantation from unrelated donors in 42 patients.
200186
7 20007
8 200029
9 199926
10 199989

About G Geissler

G Geissler is a scholar working on Transplantation, Hematology, Internal Medicine, Immunology and Oncology, having authored 10 papers that have together received 487 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (5 papers), Acute Myeloid Leukemia Research (3 papers), Chronic Myeloid Leukemia Treatments (2 papers), Polyomavirus and related diseases (2 papers), Renal Transplantation Outcomes and Treatments (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper), Cytomegalovirus and herpesvirus research (1 paper) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (1 paper). The work is most often cited by research in Transplantation (95 citations), Hematology (388 citations), Immunology (118 citations), Genetics (52 citations) and Oncology (97 citations). G Geissler has collaborated with scholars based in Germany, Austria and United States. Frequent co-authors include Martin Bornhäuser, Gerhard Ehninger, Christian Thiede, Ralph Naumann, Uta Oelschlägel, Ulrich S. Schuler, Brigitte Mohr, Frank Kroschinsky, R. Leo and Cornelia Brendel. Their work appears in journals such as Annals of Hematology, Leukemia, Bone Marrow Transplantation, Transplantation and Journal of Thrombosis and Haemostasis.

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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