A. Ting

2.1k citations
75 papers · 1.8k · h-index 25

Impact in

    • Renal Transplantation Outcomes and Treatments
  • Immunology top 10%
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses

Papers in

    • Renal Transplantation Outcomes and Treatments 47
    • Hematopoietic Stem Cell Transplantation 6
    • Blood groups and transfusion 3

A. Ting

75 papers receiving 1.5k citations

Peers

A. Ting
Comparison fields: 5 of 75
  • Transplantation 750
  • Immunology 257
  • Hematology 148
  • Biochemistry 68
  • Genetics 177
Replace R.C. Payne with:
R.C. Payne United States
F Kissmeyer-Nielsen Denmark
Jean‐Denis Bignon France
ARNE SVEJGAARD Denmark
Michael Jeannet Switzerland
PETER T. KLOUDA United Kingdom
Joan R. Urmson Canada
Wilhelm H. Schmitt Germany
Sandra M. Cockfield Canada
Takeshi Nagao Japan
A. Ting relative to R.C. Payne United States R.C. Payne's profile →
Citations per field
00.5×2×3×
R.C. Payne · 1×
Citations per year

Countries citing papers authored by A. Ting

Since Specialization
Citations

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

Fields of papers citing papers by A. Ting

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1977253
2 1986136
3 198391
4 198290
5 197888
6 198073
7 197160
8 197759
9
Hyperacute rejection of a renal allograft in the presence of anti-HLA-Cw5 antibody.
198649
10 197747
11 198338
12 198538
13 199037
14 198736
15 197735
16 198031
17 196830
18 196830
19 198930
20 198829

About A. Ting

A. Ting is a scholar working on Transplantation, Hematology, Biochemistry, Genetics and Surgery, having authored 75 papers that have together received 1.8k indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (47 papers), Transplantation: Methods and Outcomes (7 papers), Hematopoietic Stem Cell Transplantation (6 papers), Blood transfusion and management (4 papers), Genetic Associations and Epidemiology (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Blood groups and transfusion (3 papers) and vaccines and immunoinformatics approaches (3 papers). The work is most often cited by research in Transplantation (750 citations), Immunology (257 citations), Hematology (148 citations), Biochemistry (68 citations) and Genetics (177 citations). A. Ting has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Peter J. Morris, Craig J. Taylor, Andrew James McMichael, Hans J. Zweerink, Brigitte Alice Askonas, Jeremy Robert Chapman, John A. Murie, W J Irvine, R. Stuart Gray and James C. Biggs. Their work appears in journals such as The Lancet, Transplantation, British journal of surgery, Transplant International and Clinical & Experimental Allergy.

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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