Kristina Vatcheva

2.3k citations
41 papers · 1.5k indexed · 1 hit paper · h-index 16
Topics
Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers)Blood Pressure and Hypertension Studies (6 papers)Obesity, Physical Activity, Diet (5 papers)

In The Last Decade

Kristina Vatcheva

38 papers receiving 1.5k citations

Hit Papers

Multicollinearity in Regression Analyses Conducted in Epi...20162026201920222016250500750

Peers

Kristina Vatcheva
Comparison fields: 5 of 177
  • Epidemiology 266
  • General Health Professions 220
  • Public Health, Environmental and Occupational Health 206
  • Endocrinology, Diabetes and Metabolism 190
  • Cardiology and Cardiovascular Medicine 180
Replace Uyen‐Sa Nguyen with:
Uyen‐Sa Nguyen United States
Megan Jehn United States
MinJae Lee United States
Chuanhua Yu China
Tom Yates United Kingdom
Say Beng Tan Singapore
Shujuan Yang China
Daniel Barker Australia
Juan Marcos González United States
Lınhong Wang China
Kristina Vatcheva relative to Uyen‐Sa Nguyen United States Uyen‐Sa Nguyen's profile →
Citations per field
00.5×
Uyen‐Sa Nguyen · 1×
Citations per year

Countries citing papers authored by Kristina Vatcheva

Since Specialization
Citations

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

Fields of papers citing papers by Kristina Vatcheva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kristina Vatcheva

This figure shows the co-authorship network connecting the top 25 collaborators of Kristina Vatcheva. A scholar is included among the top collaborators of Kristina Vatcheva 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 Kristina Vatcheva. Kristina Vatcheva is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 0
4 2
5 1
6 90
7 3
8 4
9 8
10 12
11 19
12 14
13 6
14 36
15 14
16 26
17 6
18 20
19 61
20 18

About Kristina Vatcheva

Kristina Vatcheva is a scholar working on Modeling and Simulation, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine, having authored 41 papers that have together received 1.5k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers), Blood Pressure and Hypertension Studies (6 papers) and Obesity, Physical Activity, Diet (5 papers). The work is most often cited by research in Modeling and Simulation (79 citations), Health (98 citations) and Endocrinology, Diabetes and Metabolism (190 citations). Kristina Vatcheva has collaborated with scholars based in United States, Venezuela and Finland. Frequent co-authors include MinJae Lee, Joseph B. McCormick, Susan P. Fisher‐Hoch, Michael Lee, Mohammad H. Rahbar, Susan T. Laing, Belinda M. Reininger, Rene L. Olvera, Tamer Oraby and Walid Q. Alali. Their work appears in journals such as PLoS ONE, Scientific Reports and The American Journal of Cardiology.

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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