U Gross

514 total citations
12 papers, 395 citations indexed

About

U Gross is a scholar working on Surgery, Transplantation and Immunology. According to data from OpenAlex, U Gross has authored 12 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Surgery, 5 papers in Transplantation and 3 papers in Immunology. Recurrent topics in U Gross's work include Renal Transplantation Outcomes and Treatments (5 papers), Organ Transplantation Techniques and Outcomes (4 papers) and Hematopoietic Stem Cell Transplantation (2 papers). U Gross is often cited by papers focused on Renal Transplantation Outcomes and Treatments (5 papers), Organ Transplantation Techniques and Outcomes (4 papers) and Hematopoietic Stem Cell Transplantation (2 papers). U Gross collaborates with scholars based in United States, Germany and Sweden. U Gross's co-authors include Judith M. Thomas, Lorita M. Rebellato, Kathryn M. Verbanac, Carl E. Haisch, F. Melinda Carver, Francis T. Thomas, Stephen J. Vore, Jane Kasten‐Jolly, Lyn Healy and Christiane Fuchs and has published in prestigious journals such as Transplantation, Clinical Transplantation and Stem Cell Research.

In The Last Decade

U Gross

12 papers receiving 386 citations

Peers

U Gross
Comparison fields: 5 of 52
  • Immunology 198
  • Surgery 114
  • Transplantation 107
  • Hematology 97
  • Molecular Biology 93
Replace Phyllis A. Rees with:
Phyllis A. Rees United States
Svetlan Boskovic United States
Alexandr Arakelov United States
NICHOLAS W. PEARCE Australia
Chaorui Tian United States
M. Negus United Kingdom
Betty Joe Canada
Michael O. Finlayson United States
In‐Cheol Baek South Korea
Denis A. Tereb United States
Phyllis A. Rees United States View profile →
Citations per field, relative to U Gross
U Gross · 1×
Citations per year, relative to U Gross
U Gross · 1×

Countries citing papers authored by U Gross

Since Specialization
Citations

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

Fields of papers citing papers by U Gross

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of U Gross

This figure shows the co-authorship network connecting the top 25 collaborators of U Gross. A scholar is included among the top collaborators of U Gross 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 U Gross. U Gross is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
# Work Indexed citations
1 63
2
[Intra-articular B-cells in the pathogenesis of rheumatoid arthritis].
2
3
Requirement for DR sharing in stable kidney allograft tolerance induced by donor bone marrow in rhesus monkeys.
1
4 110
5 23
6 133
7
Veto cells in transplantation tolerance.
26
8
Donor bone marrow infusion suppresses alloantibody response in RATG-treated recipients: a correlate of long survival.
1
9
Treatment of rhesus monkey allograft recipients with a combination of anti-T-cell monoclonal antibodies.
1
10 31
11
Posttransplant TLI is effective in nonhuman primates if combined with rabbit ATG.
2
12
Diagnosis of human allograft rejection by flow cytometry using two-color fluorescence and monoclonal antibodies.
2

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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