R E Gress

948 citations
16 papers · 779 · h-index 12

Impact in

  • Hematology top 5%
    • Hematopoietic Stem Cell Transplantation
  • Immunology top 5%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • Immune Response and Inflammation

Papers in

    • T-cell and B-cell Immunology 5
    • Immunotherapy and Immune Responses 5
    • Immune Cell Function and Interaction 2
    • Hematopoietic Stem Cell Transplantation 5

R E Gress

15 papers receiving 756 citations

Peers

R E Gress
Comparison fields: 5 of 66
  • Hematology 234
  • Immunology 439
  • Immunology and Allergy 59
  • Oncology 184
  • Transplantation 17
Replace Sherry C. Huang with:
Sherry C. Huang United States
Anouk Caraux France
Bijia Deng United States
A. D. Hess United States
Paul Guglielmi France
Harry R. Koene Netherlands
CN Abboud United States
JE Layton Australia
J Klarnet United States
Valérie Schiavon France
R E Gress relative to Sherry C. Huang United States Sherry C. Huang's profile →
Citations per field
00.5×3.4×
Sherry C. Huang · 1×
Citations per year

Countries citing papers authored by R E Gress

Since Specialization
Citations

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

Fields of papers citing papers by R E Gress

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R E Gress. 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 R E Gress. The network helps show where R E Gress may publish in the future.

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 1996203
2 1997196
3 1997110
4 198946
5 201144
6 199135
7 201427
8 198826
9 199724
10
A phase I study of topotecan followed sequentially by doxorubicin in patients with advanced malignancies.
199722
11 199320
12 198914
13 20129
14 19882
15 20101
16 20070

About R E Gress

R E Gress is a scholar working on Immunology, Hematology, Oncology, Surgery and Molecular Biology, having authored 16 papers that have together received 779 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (5 papers), Hematopoietic Stem Cell Transplantation (5 papers), Immunotherapy and Immune Responses (5 papers), Immune Cell Function and Interaction (2 papers), CAR-T cell therapy research (2 papers), Transplantation: Methods and Outcomes (2 papers), Cell Adhesion Molecules Research (2 papers) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Hematology (234 citations), Immunology (439 citations), Immunology and Allergy (59 citations), Oncology (184 citations) and Transplantation (17 citations). R E Gress has collaborated with scholars based in United States, Croatia and Malaysia. Frequent co-authors include Crystal L. Mackall, John J. Letterio, H Dang, Toru Nakabayashi, Ling‐Yuan Kong, Anita B. Roberts, Andrew G. Geiser, Ashok B. Kulkarni, Mark C. Udey and Atsushi Saitoh. Their work appears in journals such as The Journal of Immunology, Blood, Bone Marrow Transplantation, Journal of Clinical Investigation and Transplantation.

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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