Mary Goetsch

550 citations
16 papers · 345 · h-index 9

Impact in

Papers in

    • Transplantation: Methods and Outcomes 7
    • Organ Transplantation Techniques and Outcomes 3
    • Renal Transplantation Outcomes and Treatments 7

Mary Goetsch

16 papers receiving 339 citations

Peers

Mary Goetsch
Comparison fields: 5 of 45
  • Transplantation 35
  • Cancer Research 61
  • Epidemiology 124
  • Molecular Biology 228
  • Pediatrics, Perinatology and Child Health 63
Replace Andrew W. Eckert with:
Andrew W. Eckert United States
Barbara Logan United States
Erica Sanford Kobayashi United States
Silvia E. Racedo United States
Lu Meng China
J. Zhang China
A. Panek Poland
Rebecca Vernon United States
Evgeny Vasilyev Russia
Mary Goetsch relative to Andrew W. Eckert United States Andrew W. Eckert's profile →
Citations per field
00.5×6.2×
Andrew W. Eckert · 1×
Citations per year

Countries citing papers authored by Mary Goetsch

Since Specialization
Citations

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

Fields of papers citing papers by Mary Goetsch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 201274
2 201664
3 201257
4 200952
5 200626
6 202024
7 201015
8 201910
9 20098
10 20226
11 20182
12 20182
13 20152
14 20131
15 20121
16 20111

About Mary Goetsch

Mary Goetsch is a scholar working on Surgery, Transplantation, Molecular Biology, Epidemiology and Cancer Research, having authored 16 papers that have together received 345 indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (7 papers), Transplantation: Methods and Outcomes (7 papers), Congenital Heart Disease Studies (4 papers), Cancer Genomics and Diagnostics (3 papers), Congenital heart defects research (3 papers), Organ Transplantation Techniques and Outcomes (3 papers), Parvovirus B19 Infection Studies (2 papers) and Insect symbiosis and bacterial influences (2 papers). The work is most often cited by research in Transplantation (35 citations), Cancer Research (61 citations), Epidemiology (124 citations), Molecular Biology (228 citations) and Pediatrics, Perinatology and Child Health (63 citations). Mary Goetsch has collaborated with scholars based in United States, Netherlands and Russia. Frequent co-authors include Aoy Tomita‐Mitchell, Michael E. Mitchell, Pippa Simpson, Mats Hidestrand, Karl Stamm, Donna K. Mahnke, James S. Tweddell, Andrew N. Pelech, John M. Draus and Erle H. Austin. Their work appears in journals such as The Journal of Heart and Lung Transplantation, Physiological Genomics, PLoS ONE, Journal of Thoracic and Cardiovascular Surgery and Journal of Bacteriology.

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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