GD Long

19 papers and 849 indexed citations i.

About

GD Long is a scholar working on Hematology, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, GD Long has authored 19 papers receiving a total of 849 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Hematology, 15 papers in Oncology and 3 papers in Pathology and Forensic Medicine. Recurrent topics in GD Long’s work include Hematopoietic Stem Cell Transplantation (17 papers), Neutropenia and Cancer Infections (12 papers) and Acute Myeloid Leukemia Research (7 papers). GD Long is often cited by papers focused on Hematopoietic Stem Cell Transplantation (17 papers), Neutropenia and Cancer Infections (12 papers) and Acute Myeloid Leukemia Research (7 papers). GD Long collaborates with scholars based in United States. GD Long's co-authors include RS Negrin, NJ Chao, SJ Horning, JR Schriber, KG Blume, Laura Stephanie Miller, Kevin Grimes, KG Blume, J. M. Bloom and AS Stein and has published in prestigious journals such as Journal of Clinical Oncology, Blood and PubMed.

In The Last Decade

Co-authorship network of co-authors of GD Long i

Fields of papers citing papers by GD Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by GD Long

Since Specialization
Citations

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

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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