Elisa Alchera

1.1k citations
35 papers · 859 · h-index 18

Impact in

  • Physiology top 2%
    • Adenosine and Purinergic Signaling
  • Hepatology top 5%
    • Liver Disease and Transplantation

Papers in

    • Organ Transplantation Techniques and Outcomes 10
    • Bladder and Urothelial Cancer Treatments 7
    • Mitochondrial Function and Pathology 3

Elisa Alchera

34 papers receiving 847 citations

Peers

Elisa Alchera
Comparison fields: 5 of 86
  • Physiology 151
  • Hepatology 146
  • Developmental Neuroscience 52
  • Epidemiology 266
  • Surgery 262
Replace Ian B. Nicoud with:
Ian B. Nicoud United States
Gilles Alberici France
Valentina Sala Italy
Elisa Gili Italy
Xiaofeng Sun China
Sayaka Sobue Japan
Xiuli Jiang China
Shipeng Dang China
Marie-Odile Rolland France
Elisa Alchera relative to Ian B. Nicoud United States Ian B. Nicoud's profile →
Citations per field
00.5×9.4×
Ian B. Nicoud · 1×
Citations per year

Countries citing papers authored by Elisa Alchera

Since Specialization
Citations

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

Fields of papers citing papers by Elisa Alchera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015129
2 200769
3 202068
4 200456
5 201743
6 201241
7 200840
8 201139
9 201039
10 201426
11 202225
12 201024
13 201623
14 200521
15 200920
16 202320
17 202419
18 200619
19 200617
20 202116

About Elisa Alchera

Elisa Alchera is a scholar working on Surgery, Molecular Biology, Physiology, Epidemiology and Biomedical Engineering, having authored 35 papers that have together received 859 indexed citations. Recurring topics across this work include Adenosine and Purinergic Signaling (11 papers), Organ Transplantation Techniques and Outcomes (10 papers), Bladder and Urothelial Cancer Treatments (7 papers), Liver Disease Diagnosis and Treatment (6 papers), Nanoplatforms for cancer theranostics (5 papers), Photoacoustic and Ultrasonic Imaging (5 papers), Cardiac Ischemia and Reperfusion (5 papers) and Mitochondrial Function and Pathology (3 papers). The work is most often cited by research in Physiology (151 citations), Hepatology (146 citations), Developmental Neuroscience (52 citations), Epidemiology (266 citations) and Surgery (262 citations). Elisa Alchera has collaborated with scholars based in Italy, Malaysia and Switzerland. Frequent co-authors include Rita Carini, Chiara Imarisio, Emanuele Albano, Antonia Follenzi, Guido Valente, Francesco Novelli, Simona Rolla, Valentina Bardina, Maria Nitti and Lorenza Tacchini. Their work appears in journals such as Journal of Hepatology, Clinical Science, Computer Methods and Programs in Biomedicine, Free Radical Biology and Medicine and Communications Biology.

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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