N Elfimova

867 citations
16 papers · 735 · h-index 10

Impact in

  • Hepatology top 5%
    • Liver physiology and pathology
    • Hepatitis C virus research
    • Liver Disease and Transplantation
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

    • MicroRNA in disease regulation 9
    • Liver physiology and pathology 9
    • Liver Disease and Transplantation 1

N Elfimova

16 papers receiving 723 citations

Peers

N Elfimova
Comparison fields: 5 of 69
  • Hepatology 237
  • Cancer Research 385
  • Epidemiology 205
  • Molecular Biology 310
  • Surgery 66
Replace Can‐Jie Guo with:
Can‐Jie Guo China
Shanhong Tang China
Sherri Kemper United States
M Kwiecinski Germany
Takuo Tokairin Japan
Chao‐Wei Hsu Taiwan
Tsung‐Ming Chen Taiwan
Xiaowei Dang China
Oxana V. Makarova‐Rusher United States
Wan-Yee Lau Hong Kong
N Elfimova relative to Can‐Jie Guo China Can‐Jie Guo's profile →
Citations per field
00.5×1.5×2.4×
Can‐Jie Guo · 1×
Citations per year

Countries citing papers authored by N Elfimova

Since Specialization
Citations

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

Fields of papers citing papers by N Elfimova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2012144
2 2012137
3 2011123
4 201292
5 201271
6 201456
7 201237
8 201330
9 201218
10 202218
11 20094
12 20101
13 20171
14 20131
15 20111
16 20091

About N Elfimova

N Elfimova is a scholar working on Cancer Research, Hepatology, Molecular Biology, Epidemiology and Surgery, having authored 16 papers that have together received 735 indexed citations. Recurring topics across this work include Liver physiology and pathology (9 papers), MicroRNA in disease regulation (9 papers), Circular RNAs in diseases (4 papers), Liver Disease Diagnosis and Treatment (2 papers), Immunotherapy and Immune Responses (1 paper), Liver Disease and Transplantation (1 paper), Hepatitis B Virus Studies (1 paper) and Aerospace, Electronics, Mathematical Modeling (1 paper). The work is most often cited by research in Hepatology (237 citations), Cancer Research (385 citations), Epidemiology (205 citations), Molecular Biology (310 citations) and Surgery (66 citations). N Elfimova has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Margarete Odenthal, A Noetel, M Kwiecinski, Jia Huang, Hans Peter Dienes, Jonel Trebicka, I Strack, Roswitha Nischt, Ulrich Töx and Jürgen K. Rockstroh. Their work appears in journals such as Journal of Hepatology, Frontiers in Physiology, PLoS ONE, Hepatology and Cellular and Molecular Gastroenterology and Hepatology.

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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