Dean G. Heimann

615 total citations
17 papers, 529 citations indexed

About

Dean G. Heimann is a scholar working on Hematology, Cellular and Molecular Neuroscience and Oncology. According to data from OpenAlex, Dean G. Heimann has authored 17 papers receiving a total of 529 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Hematology, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Oncology. Recurrent topics in Dean G. Heimann's work include Hematopoietic Stem Cell Transplantation (4 papers), Pregnancy-related medical research (3 papers) and Cell Adhesion Molecules Research (3 papers). Dean G. Heimann is often cited by papers focused on Hematopoietic Stem Cell Transplantation (4 papers), Pregnancy-related medical research (3 papers) and Cell Adhesion Molecules Research (3 papers). Dean G. Heimann collaborates with scholars based in United States and United Kingdom. Dean G. Heimann's co-authors include James E. Talmadge, Linda Kelsey, Anne Kessinger, Roger D. Reidelberger, Michelle L. Varney, John D. Jackson, Kazuhiko Ino, Robert G. Bennett, Dean J. Tuma and JM Vose and has published in prestigious journals such as Annals of the New York Academy of Sciences, American Journal of Physiology-Regulatory, Integrative and Comparative Physiology and Cancer Immunology Immunotherapy.

In The Last Decade

Dean G. Heimann

17 papers receiving 517 citations

Peers

Dean G. Heimann
Comparison fields: 5 of 70
  • Hematology 216
  • Immunology 182
  • Oncology 104
  • Endocrine and Autonomic Systems 74
  • Molecular Biology 65
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Jayanthi Ganesan Germany View profile →
Citations per field, relative to Dean G. Heimann
Dean G. Heimann · 1×
Citations per year, relative to Dean G. Heimann
Dean G. Heimann · 1×

Countries citing papers authored by Dean G. Heimann

Since Specialization
Citations

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

Fields of papers citing papers by Dean G. Heimann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dean G. Heimann

This figure shows the co-authorship network connecting the top 25 collaborators of Dean G. Heimann. A scholar is included among the top collaborators of Dean G. Heimann based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dean G. Heimann. Dean G. Heimann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
# Work Indexed citations
1 20
2 52
3 1
4 11
5 16
6 40
7 13
8 58
9 5
10 2
11 17
12 11
13
Cell adhesion molecule expression on CD34+ cells in grafts and time to myeloid and platelet recovery after autologous stem cell transplantation.
65
14 148
15 16
16
Immunologic phenotype and function in human bone marrow, blood stem cells and umbilical cord blood.
53
17 1

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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