Irina Degtiar

1.3k citations
11 papers · 931 indexed · 2 hit papers · h-index 6
Topics
Advanced Causal Inference Techniques (3 papers)Health Systems, Economic Evaluations, Quality of Life (2 papers)Cancer Diagnosis and Treatment (2 papers)

In The Last Decade

Irina Degtiar

10 papers receiving 920 citations

Hit Papers

A Review of the Clinical, Economic, and Societal Burden o...201420262018202220142022100200300400

Peers

Irina Degtiar
Comparison fields: 5 of 107
  • Psychiatry and Mental health 328
  • Pharmacology 255
  • Biological Psychiatry 166
  • Social Psychology 104
  • Cognitive Neuroscience 103
Replace Jurjen J. Luykx with:
Jurjen J. Luykx Netherlands
Matthew Macaluso United States
Yangchun Du United States
Spyridon Siafis Germany
Paula Suárez‐Pinilla Spain
Rainer Schaub Germany
Ni A. Khin United States
Ada Woo United States
Serafino G. Mancuso Australia
Yinzhong Chen China
Irina Degtiar relative to Jurjen J. Luykx Netherlands Jurjen J. Luykx's profile →
Citations per field
00.5×1.5×
Jurjen J. Luykx · 1×
Citations per year

Countries citing papers authored by Irina Degtiar

Since Specialization
Citations

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

Fields of papers citing papers by Irina Degtiar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Irina Degtiar

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

All Works

11 of 11 papers shown
#WorkIndexed citations
1 0
2 2
3
A Review of Generalizability and Transportabilitybreakdown →
145
4 2
5 23
6 52
7 9
8
A Review of the Clinical, Economic, and Societal Burden of Treatment-Resistant Depression: 1996–2013breakdown →
409
9 284
10 1
11 4

About Irina Degtiar

Irina Degtiar is a scholar working on Statistics and Probability, Psychiatry and Mental health and Reproductive Medicine, having authored 11 papers that have together received 931 indexed citations. Recurring topics across this work include Advanced Causal Inference Techniques (3 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers) and Cancer Diagnosis and Treatment (2 papers). The work is most often cited by research in Biological Psychiatry (166 citations), Psychiatry and Mental health (328 citations) and Pharmacology (255 citations). Irina Degtiar has collaborated with scholars based in United States, Canada and France. Frequent co-authors include John Hornberger, C. Anthony Altar, David A. Mrazek, Sherri Rose, James L. Kennedy, Danielle L. Taylor, Stijn E. Verleden, Linda J. Stuckey, Susan Murray and Xin Wang. Their work appears in journals such as Journal of Clinical Oncology, American Journal of Respiratory and Critical Care Medicine and Biometrics.

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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