A Gee

1.1k citations
10 papers · 909 indexed · 1 hit paper · h-index 7

Impact in

  • Hematology top 2%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
  • Genetics top 5%
    • Chronic Lymphocytic Leukemia Research

Papers in

A Gee

10 papers receiving 878 citations

Hit Papers

Transplant-lite: induction of graft-versus-malignancy using fludarabine-based nonablative chemotherapy and allogeneic blood progenitor-cell transplantation as treatment for lymphoid malignancies. 1998 · 738 citations
7381998202620072016200400600

Peers

A Gee
Comparison fields: 5 of 49
  • Hematology 620
  • Genetics 204
  • Transplantation 48
  • Immunology 343
  • Pathology and Forensic Medicine 181
Replace Ram Malladi with:
Ram Malladi United Kingdom
Stephen J. Forman United States
Birgit Federmann Germany
Jean-Philippe Laporte France
S Jagannath United States
J. L. Harousseau France
Francesco Zallio Italy
Monic J. Stuart United States
B. Glaß Germany
Raynier Devillier France
A Gee relative to Ram Malladi United Kingdom Ram Malladi's profile →
Citations per field
00.5×1.5×
Ram Malladi · 1×
Citations per year

Countries citing papers authored by A Gee

Since Specialization
Citations

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

Fields of papers citing papers by A Gee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1
Transplant-lite: induction of graft-versus-malignancy using fludarabine-based nonablative chemotherapy and allogeneic blood progenitor-cell transplantation as treatment for lymphoid malignancies.
Hit paper breakdown →
1998738
2 199188
3 198822
4 199121
5 199720
6 199010
7 19876
8 19912
9 20151
10 19911

About A Gee

A Gee is a scholar working on Neurology, Pulmonary and Respiratory Medicine, Epidemiology, Cancer Research and Molecular Biology, having authored 10 papers that have together received 909 indexed citations. Recurring topics across this work include Neuroblastoma Research and Treatments (6 papers), Cancer, Hypoxia, and Metabolism (2 papers), Hematopoietic Stem Cell Transplantation (2 papers), Sepsis Diagnosis and Treatment (2 papers), Ocular Oncology and Treatments (1 paper), Lymphoma Diagnosis and Treatment (1 paper), Cancer Immunotherapy and Biomarkers (1 paper) and Prostate Cancer Treatment and Research (1 paper). The work is most often cited by research in Hematology (620 citations), Genetics (204 citations), Transplantation (48 citations), Immunology (343 citations) and Pathology and Forensic Medicine (181 citations). A Gee has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include David F. Claxton, Michèle L. Donato, S O'Brien, Paolo Anderlini, Issa F. Khouri, James Gajewski, Richard E. Champlin, Sergio Giralt, Donna Przepiorka and M Körbling. Their work appears in journals such as Journal of Clinical Oncology, Blood, Cancer, European Journal of Cancer and Cancer Investigation.

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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