Malcolm MacConmara

2.6k citations
61 papers · 1.5k · h-index 19

Impact in

Papers in

    • Organ Transplantation Techniques and Outcomes 36
    • Transplantation: Methods and Outcomes 7
    • Liver Disease and Transplantation 31

Malcolm MacConmara

56 papers receiving 1.5k citations

Peers

Malcolm MacConmara
Comparison fields: 5 of 91
  • Transplantation 177
  • Hepatology 288
  • Immunology 476
  • Cancer Research 189
  • Critical Care and Intensive Care Medicine 62
Replace Norihiro Sato with:
Norihiro Sato Japan
Shaheed Merani Canada
Oliver Drognitz Germany
Chiara Divella Italy
Lucile E. Wrenshall United States
Christoph W. Strey Germany
Mélanie Dieudé Canada
Barbara Infante Italy
Zhenhua Hu China
Jeffrey Damman Netherlands
Malcolm MacConmara relative to Norihiro Sato Japan Norihiro Sato's profile →
Citations per field
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Citations per year

Countries citing papers authored by Malcolm MacConmara

Since Specialization
Citations

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

Fields of papers citing papers by Malcolm MacConmara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018193
2 2006182
3 2019159
4 2006105
5 200684
6 200567
7 202064
8 202059
9 202351
10 201548
11 200644
12 201643
13 200834
14 201832
15 200725
16 201024
17 200221
18 200918
19 200218
20 201817

About Malcolm MacConmara

Malcolm MacConmara is a scholar working on Surgery, Hepatology, Public Health, Environmental and Occupational Health, Transplantation and Immunology, having authored 61 papers that have together received 1.5k indexed citations. Recurring topics across this work include Organ Transplantation Techniques and Outcomes (36 papers), Liver Disease and Transplantation (31 papers), Organ Donation and Transplantation (17 papers), Renal Transplantation Outcomes and Treatments (14 papers), Immune Response and Inflammation (8 papers), Transplantation: Methods and Outcomes (7 papers), Liver Disease Diagnosis and Treatment (5 papers) and T-cell and B-cell Immunology (4 papers). The work is most often cited by research in Transplantation (177 citations), Hepatology (288 citations), Immunology (476 citations), Cancer Research (189 citations) and Critical Care and Intensive Care Medicine (62 citations). Malcolm MacConmara has collaborated with scholars based in United States, Ireland and Germany. Frequent co-authors include James A. Lederer, John A. Mannick, Adrian A. Maung, Satoshi Fujimi, Christine Hwang, Yan Zang, Peter H. Lapchak, Amit G. Singal, Israel Gotsman and Rosa DaCosta. Their work appears in journals such as Liver Transplantation, Pediatric Transplantation, Transplantation, Journal of Leukocyte Biology and American Journal of 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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