B. Gahn

1.1k citations
22 papers · 831 · h-index 13

Impact in

Papers in

B. Gahn

21 papers receiving 795 citations

Peers

B. Gahn
Comparison fields: 5 of 46
  • Oncology 436
  • Pathology and Forensic Medicine 277
  • Genetics 133
  • Immunology 268
  • Hematology 128
Replace AM Levine with:
AM Levine United States
Ellen G. van Lochem Netherlands
Zhong-Jun Xia China
Meifeng Tu China
RK Brynes United States
I L Wolvers-Tettero Netherlands
Sridhar Chaganti United Kingdom
Harry R. Koene Netherlands
Marco Ungari Italy
Isabelle Radford‐Weiss France
B. Gahn relative to AM Levine United States AM Levine's profile →
Citations per field
00.5×2.7×
AM Levine · 1×
Citations per year

Countries citing papers authored by B. Gahn

Since Specialization
Citations

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

Fields of papers citing papers by B. Gahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004308
2 2005122
3 200171
4
De novo AML with dysplastic hematopoiesis: cytogenetic and prognostic significance.
199664
5 201256
6 199738
7 199735
8 200327
9
Immunotherapy for Hodgkin's disease.
200226
10 200016
11 199915
12 200315
13 200214
14 20036
15
Triple antifungal therapy for severe systemic candidiasis allowed performance of allogeneic stem cell transplantation.
20074
16 20114
17
Successful autologous stem cell transplantation in a severely immunocompromised patient with relapsed AIDS-related B-cell lymphoma.
20063
18 19972
19 20002
20
19972

About B. Gahn

B. Gahn is a scholar working on Pathology and Forensic Medicine, Oncology, Genetics, Immunology and Epidemiology, having authored 22 papers that have together received 831 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (11 papers), Viral-associated cancers and disorders (8 papers), Chronic Lymphocytic Leukemia Research (7 papers), Immune Cell Function and Interaction (4 papers), Immunodeficiency and Autoimmune Disorders (3 papers), Acute Myeloid Leukemia Research (2 papers), Vascular Tumors and Angiosarcomas (2 papers) and Cytomegalovirus and herpesvirus research (2 papers). The work is most often cited by research in Oncology (436 citations), Pathology and Forensic Medicine (277 citations), Genetics (133 citations), Immunology (268 citations) and Hematology (128 citations). B. Gahn has collaborated with scholars based in Germany, United States and Pakistan. Frequent co-authors include Cliona M. Rooney, Helen E. Heslop, Malcolm K. Brenner, M. Helen Huls, Catherine M. Bollard, Adrian P. Gee, George Carrum, Karin Straathof, Wolfgang Hiddemann and John W. Sixbey. Their work appears in journals such as Annals of Oncology, Blood, Journal of Clinical Oncology, British Journal of Haematology and Cytotherapy.

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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