M. Cabello

511 citations
36 papers · 414 · h-index 11

Impact in

    • Renal Transplantation Outcomes and Treatments
  • Nephrology top 10%
    • Parathyroid Disorders and Treatments

Papers in

M. Cabello

35 papers receiving 385 citations

Peers

M. Cabello
Comparison fields: 5 of 41
  • Transplantation 232
  • Nephrology 51
  • Oncology 63
  • Ophthalmology 13
  • Surgery 48
Replace Miguel Gonzalez Molina with:
Miguel Gonzalez Molina Spain
Mark Reza Laftavi United States
M. López-Andréu Spain
Corry Rj United States
Giovanni Liviano D’Arcangelo Italy
Vinayak Rohan United States
Beat Huser Switzerland
R Weil United States
Pedro Nunes Portugal
Yudo Tanno Japan
M. Cabello relative to Miguel Gonzalez Molina Spain Miguel Gonzalez Molina's profile →
Citations per field
00.5×2×3×3.6×
Miguel Gonzalez Molina · 1×
Citations per year

Countries citing papers authored by M. Cabello

Since Specialization
Citations

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

Fields of papers citing papers by M. Cabello

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201282
2 200229
3 200628
4 200928
5 201125
6 201124
7 200817
8 200615
9 200613
10 200612
11 201011
12 201011
13 201311
14 201010
15 20109
16 20119
17 20129
18 20088
19 20127
20 20076

About M. Cabello

M. Cabello is a scholar working on Transplantation, Oncology, Nephrology, Surgery and Public Health, Environmental and Occupational Health, having authored 36 papers that have together received 414 indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (24 papers), Polyomavirus and related diseases (4 papers), Organ Donation and Transplantation (2 papers), Pancreatic function and diabetes (2 papers), Transplantation: Methods and Outcomes (2 papers), Peripheral Neuropathies and Disorders (1 paper), Blood groups and transfusion (1 paper) and Parathyroid Disorders and Treatments (1 paper). The work is most often cited by research in Transplantation (232 citations), Nephrology (51 citations), Oncology (63 citations), Ophthalmology (13 citations) and Surgery (48 citations). M. Cabello has collaborated with scholars based in Spain. Frequent co-authors include D. Burgos, Eugenia Sola, Verónica López Jiménez, Miguel Gonzalez Molina, Domingo Hernández, Miguel González-Molina, Miguel Angel Gentil, Francisco Valdés, Daniel Serón and Federico Oppenheimer. Their work appears in journals such as Transplantation Proceedings, Clinical Kidney Journal, Nephrology Dialysis Transplantation and PubMed.

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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