Tanja Proctor

21 papers receiving 725 citations

Peers

Tanja Proctor
Comparison fields: 5 of 77
  • Surgery 354
  • Cardiology and Cardiovascular Medicine 136
  • Health Informatics 8
  • Obstetrics and Gynecology 17
  • Reproductive Medicine 18
Replace Laura Benner with:
Laura Benner Germany
Mona Wanda Schmidt Germany
Elena Andradas Spain
George Ruiz United States
Muhammad Naeem Pakistan
Federico Piramide Italy
Mireille Truong United States
Derya Öztürk Türkiye
Weitao Ye China
Michael Kassin United States
Tanja Proctor relative to Laura Benner Germany Laura Benner's profile →
Citations per field
00.5×2×4×6.5×
Laura Benner · 1×
Citations per year

Countries citing papers authored by Tanja Proctor

Since Specialization
Citations

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

Fields of papers citing papers by Tanja Proctor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017116
2 201770
3 201669
4 202165
5 201660
6 201759
7 201857
8 200055
9 201846
10 202232
11 202025
12 201721
13 201620
14 202214
15 201812
16 20229
17 20244
18 20173
19 20223
20 20192

About Tanja Proctor

Tanja Proctor is a scholar working on Surgery, Oncology, Cardiology and Cardiovascular Medicine, Statistics and Probability and Pulmonary and Respiratory Medicine, having authored 26 papers that have together received 744 indexed citations. Recurring topics across this work include Surgical Simulation and Training (6 papers), Statistical Methods in Clinical Trials (3 papers), Cardiac pacing and defibrillation studies (2 papers), Cardiomyopathy and Myosin Studies (2 papers), Cardiac electrophysiology and arrhythmias (1 paper), Head and Neck Cancer Studies (1 paper), Advanced Causal Inference Techniques (1 paper) and Mathematical Biology Tumor Growth (1 paper). The work is most often cited by research in Surgery (354 citations), Cardiology and Cardiovascular Medicine (136 citations), Health Informatics (8 citations), Obstetrics and Gynecology (17 citations) and Reproductive Medicine (18 citations). Tanja Proctor has collaborated with scholars based in Germany, United States and Cyprus. Frequent co-authors include Beat P. Müller‐Stich, Felix Nickel, Mona Wanda Schmidt, Karl‐Friedrich Kowalewski, Katrin Jensen, Carly R. Garrow, Pascal Probst, Hugo A. Katus, Thomas Brückner and Elham Kayvanpour. Their work appears in journals such as Surgical Endoscopy, Frontiers in Psychiatry, Cochrane Database of Systematic Reviews, American Journal of Clinical Pathology and Clinical Orthopaedics and Related Research.

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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