Yulia Haim

1.2k citations
32 papers · 898 · h-index 17

Impact in

  • Physiology top 5%
    • Adipose Tissue and Metabolism
    • Diet and metabolism studies
    • Adipokines, Inflammation, and Metabolic Diseases
    • Autophagy in Disease and Therapy
    • Liver Disease Diagnosis and Treatment

Papers in

    • Adipokines, Inflammation, and Metabolic Diseases 17
    • Autophagy in Disease and Therapy 8
    • Adipose Tissue and Metabolism 21

Yulia Haim

32 papers receiving 886 citations

Peers

Yulia Haim
Comparison fields: 5 of 85
  • Physiology 423
  • Epidemiology 524
  • Biochemistry 61
  • Geriatrics and Gerontology 32
  • Biochemistry 47
Replace Laia Salvadó with:
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Yulia Haim relative to Laia Salvadó Spain Laia Salvadó's profile →
Citations per field
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Citations per year

Countries citing papers authored by Yulia Haim

Since Specialization
Citations

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

Fields of papers citing papers by Yulia Haim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013129
2 2015129
3 201585
4 201479
5 201268
6 201141
7 202036
8 201631
9 201630
10 201628
11 201728
12 201719
13 202019
14 201919
15 201818
16 201318
17 201717
18 202115
19 202013
20 202212

About Yulia Haim

Yulia Haim is a scholar working on Epidemiology, Physiology, Molecular Biology, Cardiology and Cardiovascular Medicine and Immunology, having authored 32 papers that have together received 898 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (21 papers), Adipokines, Inflammation, and Metabolic Diseases (17 papers), Autophagy in Disease and Therapy (8 papers), Cardiovascular Disease and Adiposity (5 papers), MicroRNA in disease regulation (3 papers), Lipid metabolism and biosynthesis (3 papers), RNA modifications and cancer (3 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Physiology (423 citations), Epidemiology (524 citations), Biochemistry (61 citations), Geriatrics and Gerontology (32 citations) and Biochemistry (47 citations). Yulia Haim has collaborated with scholars based in Israel, Germany and United States. Frequent co-authors include Assaf Rudich, Nava Bashan, Matthias Blüher, Tanya Tarnovscki, Nir Goldstein, Martin Gericke, Julia Kovsan, Nora Klöting, Boris Kirshtein and Daniel Konrad. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids, Adipocyte, Obesity, American Journal of Physiology-Endocrinology and Metabolism and Cells.

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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