Manuel Aparicio

530 citations
30 papers · 342 indexed · h-index 10

Impact in

Papers in

Manuel Aparicio

25 papers receiving 321 citations

Peers

Manuel Aparicio
Comparison fields: 5 of 100
  • Clinical Biochemistry 115
  • Health Informatics 9
  • Management of Technology and Innovation 23
  • Endocrinology 16
  • Periodontics 13
Replace Michael S. Adamowicz with:
Michael S. Adamowicz United States
Ali A. Hossaini United States
Anamaria Crisan Canada
Yilin Kang Australia
Joe M. Butler Netherlands
Jin Shao China
Shi Zhuan Tan United Kingdom
Tiago Paixão Austria
Fabian Schmich Switzerland
Pieter-Jan Van Camp United States
Manuel Aparicio relative to Michael S. Adamowicz United States Michael S. Adamowicz's profile →
Citations per field
00.5×11.5×
Michael S. Adamowicz · 1×
Citations per year

Countries citing papers authored by Manuel Aparicio

Since Specialization
Citations

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

Fields of papers citing papers by Manuel Aparicio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20227
2 202133
3 202014
4 20192
5 20190
6 20139
7 20121
8 20121
9 20120
10 201028
11 20074
12 20021
13 199722
14 199637
15 199520
16
Foraging for information resources in cyberspace: intelligent foraging agent in a distributed network
19940
17 199372
18 199326
19 19776
20 19702

About Manuel Aparicio

Manuel Aparicio is a scholar working on Clinical Biochemistry, Hepatology, Transplantation, Hardware and Architecture and Safety Research, having authored 30 papers that have together received 342 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (4 papers), Metabolism and Genetic Disorders (4 papers), Hepatitis B Virus Studies (4 papers), Transplantation: Methods and Outcomes (3 papers), Hepatitis C virus research (3 papers), Aquaculture disease management and microbiota (2 papers), Ethics and Social Impacts of AI (2 papers) and ATP Synthase and ATPases Research (2 papers). The work is most often cited by research in Clinical Biochemistry (115 citations), Health Informatics (9 citations), Management of Technology and Innovation (23 citations), Endocrinology (16 citations) and Periodontics (13 citations). Manuel Aparicio has collaborated with scholars based in Spain, United States and Germany. Frequent co-authors include Yolanda Campos, Joaquı́n Arenas, Juan Bautista, Mario Toboso Martín, Eduardo Gutiérrez, Ana Cabello, Miguel A. Martı́n, Rajiv Ramnath, Juan J. Borrego and Manuel Manchado. Their work appears in journals such as Muscle & Nerve, Dermatology, AI & Society, Nature Machine Intelligence and Neuropediatrics.

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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