Leila Kazemi

561 total citations
15 papers, 410 citations indexed

About

Leila Kazemi is a scholar working on Surgery, Physiology and Epidemiology. According to data from OpenAlex, Leila Kazemi has authored 15 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Surgery, 4 papers in Physiology and 3 papers in Epidemiology. Recurrent topics in Leila Kazemi's work include Nutrition and Health in Aging (4 papers), Body Composition Measurement Techniques (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Leila Kazemi is often cited by papers focused on Nutrition and Health in Aging (4 papers), Body Composition Measurement Techniques (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Leila Kazemi collaborates with scholars based in United States, Iran and China. Leila Kazemi's co-authors include Ralph Giorno, Donald Y.M. Leung, Malak Kotb, David A. Norris, Jeffrey B. Travers, Jacob Aelion, Anne E. Trumble, Johanna Busse, Patrick Flynn and Donald Y.M. Leung and has published in prestigious journals such as Journal of Clinical Investigation, The Journal of Immunology and Radiology.

In The Last Decade

Leila Kazemi

15 papers receiving 384 citations

Peers

Leila Kazemi
Comparison fields: 5 of 70
  • Immunology 191
  • Dermatology 100
  • Surgery 79
  • Pulmonary and Respiratory Medicine 60
  • Physiology 53
Replace Aurélien Guffroy with:
Aurélien Guffroy France
Sandrine Benoit Germany
J. Gonzalo Ocejo‐Vinyals Spain
Yoshio Kawakami Japan
Cord Sunderkoetter Germany
Ki Bum Myung South Korea
Shuyan Gu China
R.A. Thompson United Kingdom
Pamela Stein Germany
Kabeer Shah United States
Aurélien Guffroy France View profile →
Citations per field, relative to Leila Kazemi
Leila Kazemi · 1×
Citations per year, relative to Leila Kazemi
Leila Kazemi · 1×

Countries citing papers authored by Leila Kazemi

Since Specialization
Citations

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

Fields of papers citing papers by Leila Kazemi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leila Kazemi

This figure shows the co-authorship network connecting the top 25 collaborators of Leila Kazemi. A scholar is included among the top collaborators of Leila Kazemi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Leila Kazemi. Leila Kazemi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
# Work Indexed citations
1 1
2 10
3 5
4 2
5 4
6 6
7 2
8 28
9 2
10 3
11 12
12 12
13
CLINICAL TRIAL OF ANTIDIABETIC EFFECT OF MORUS NIGRA LEAVE EXTRACTS
3
14 225
15 95

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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