L Moleda

439 citations
14 papers · 278 · h-index 9

Impact in

  • Hepatology top 5%
    • Liver Disease and Transplantation
    • Liver physiology and pathology
    • Liver Disease Diagnosis and Treatment

Papers in

    • Liver Disease and Transplantation 8
    • Liver Diseases and Immunity 2
    • Cardiovascular, Neuropeptides, and Oxidative Stress Research 3
    • Organ Transplantation Techniques and Outcomes 3

L Moleda

14 papers receiving 273 citations

Peers

L Moleda
Comparison fields: 5 of 53
  • Hepatology 143
  • Epidemiology 164
  • Endocrinology, Diabetes and Metabolism 43
  • Pharmacology 19
  • Endocrine and Autonomic Systems 14
Replace Pierre S. Leclère with:
Pierre S. Leclère France
Takeru Sakai Japan
Lu Lin China
Yuka Hayakawa Japan
Yu‐Hong Huang China
Roxana Gutiérrez‐Vidal Mexico
Emilie K. Mitten United States
Annapurna Kuppa United States
Toshihiko Hashinaga Japan
Charlotte Wilhelmina Wernberg Denmark
L Moleda relative to Pierre S. Leclère France Pierre S. Leclère's profile →
Citations per field
00.5×3.4×
Pierre S. Leclère · 1×
Citations per year

Countries citing papers authored by L Moleda

Since Specialization
Citations

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

Fields of papers citing papers by L Moleda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 201049
2 201039
3 201134
4 200830
5 201127
6 200922
7 201220
8 200917
9 200516
10 20158
11 20186
12 20106
13 20183
14 20111

About L Moleda

L Moleda is a scholar working on Hepatology, Surgery, Epidemiology, Cellular and Molecular Neuroscience and Genetics, having authored 14 papers that have together received 278 indexed citations. Recurring topics across this work include Liver Disease and Transplantation (8 papers), Liver Disease Diagnosis and Treatment (5 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (3 papers), Organ Transplantation Techniques and Outcomes (3 papers), Liver Diseases and Immunity (2 papers), Neuropeptides and Animal Physiology (2 papers), Diabetes and associated disorders (2 papers) and Endoplasmic Reticulum Stress and Disease (1 paper). The work is most often cited by research in Hepatology (143 citations), Epidemiology (164 citations), Endocrinology, Diabetes and Metabolism (43 citations), Pharmacology (19 citations) and Endocrine and Autonomic Systems (14 citations). L Moleda has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Rainer H. Straub, Claus Hellerbrand, Reiner Wiest, Roland Wiest, J Schölmerich, Jürgen Schölmerich, Peter Dietrich, H Wobser, Christa Buechler and Michael Worlicek. Their work appears in journals such as Journal of Hepatology, Gut, Liver International, Journal of Gastroenterology and Hepatology and American Journal of Physiology-Gastrointestinal and Liver Physiology.

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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