Natasha Khovanova

663 total citations · 1 hit paper
16 papers, 463 citations indexed

About

Natasha Khovanova is a scholar working on Surgery, Transplantation and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Natasha Khovanova has authored 16 papers receiving a total of 463 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Surgery, 6 papers in Transplantation and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Natasha Khovanova's work include Renal Transplantation Outcomes and Treatments (6 papers), Diabetes Management and Research (4 papers) and Heart Rate Variability and Autonomic Control (4 papers). Natasha Khovanova is often cited by papers focused on Renal Transplantation Outcomes and Treatments (6 papers), Diabetes Management and Research (4 papers) and Heart Rate Variability and Autonomic Control (4 papers). Natasha Khovanova collaborates with scholars based in United Kingdom, United States and Germany. Natasha Khovanova's co-authors include Torgyn Shaikhina, David Briggs, Robert Higgins, Sunil Daga, I. A. Khovanov, Daniel A. Mitchell, David Lowe, Nithya Krishnan, James H. Jones and Daniel Zehnder and has published in prestigious journals such as Scientific Reports, Computer Methods and Programs in Biomedicine and Mathematical Biosciences.

In The Last Decade

Natasha Khovanova

14 papers receiving 454 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Decision tree and random forest models for outcome prediction in antibody incompatible kidney transplantation

2017 257 citations Torgyn Shaikhina, Sunil Daga et al. Biomedical Signal Processing and Control profile →

Peers

Countries citing papers authored by Natasha Khovanova

Since Specialization

Citations

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

Fields of papers citing papers by Natasha Khovanova

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Natasha Khovanova

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

All Works

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16 of 16 papers shown

#	Work	Indexed citations
1	A Glucose-Only Model to Extract Physiological Information from Postprandial Glucose Profiles in Subjects with Normal Glucose Tolerance 2021 ·Journal of Diabetes Science and Technology ·Manuel Eichenlaub, Natasha Khovanova, Mary C. Gannon, Frank Q. Nuttall, John Hattersley	4
2	HLA Antibody Incompatible Renal Transplantation: Long-term Outcomes Similar to Deceased Donor Transplantation 2021 ·Transplantation Direct ·Nithya Krishnan, (unknown), (unknown), Sunil Daga, Kishore Gopalakrishnan, (unknown), (unknown), Habib Kashi, Chris Imray, Daniel Zehnder, Claire Collins, (unknown), Robert Higgins, Natasha Khovanova, David Briggs	10
3	Defining Clinically Pathogenic HLA-Specific Antibodies - Granular Details in Characteristics in Pre and Early Time Following HLA-Antibody Incompatible Kidney Transplantation 2021 ·Warwick Research Archive Portal (University of Warwick) ·(unknown), (unknown), Natasha Khovanova, Robert Higgins	0
4	Bayesian parameter estimation in the oral minimal model of glucose dynamics from non-fasting conditions using a new function of glucose appearance 2020 ·Computer Methods and Programs in Biomedicine ·Manuel Eichenlaub, John Hattersley, Mary C. Gannon, Frank Q. Nuttall, Natasha Khovanova	2
5	Enhancement of Synchronization between Physiological Signals during Exercise: A Preliminary Investigation 2020 ·PubMed ·(unknown), Natasha Khovanova, I. A. Khovanov	4
6	A Minimal Model Approach for the Description of Postprandial Glucose Responses from Glucose Sensor Data in Diabetes Mellitus 2019 ·PubMed ·Manuel Eichenlaub, John Hattersley, Natasha Khovanova	5
7	Control of heart rate through guided high-rate breathing 2019 ·Scientific Reports ·(unknown), Natasha Khovanova, I. A. Khovanov	25
8	Physical fitness contributes to cardio-respiratory synchronization 2019 ·Warwick Research Archive Portal (University of Warwick) ·(unknown), Natasha Khovanova, I. A. Khovanov	3
9	Decision tree and random forest models for outcome prediction in antibody incompatible kidney transplantation breakdown → 2017 ·Biomedical Signal Processing and Control ·Torgyn Shaikhina, (unknown), Sunil Daga, David Briggs, Robert Higgins, Natasha Khovanova	257
10	Frequency response of an energy harvester to harmonic noise: Towards stochastic frequency response of nonlinear systems 2017 ·I. A. Khovanov, Natasha Khovanova	0
11	A new data-driven model for post-transplant antibody dynamics in high risk kidney transplantation 2016 ·Mathematical Biosciences ·Yan Zhang, David Briggs, David Lowe, Daniel A. Mitchell, Sunil Daga, Nithya Krishnan, Robert Higgins, Natasha Khovanova	8
12	Machine Learning for Predictive Modelling based on Small Data in Biomedical Engineering 2015 ·IFAC-PapersOnLine ·Torgyn Shaikhina, (unknown), Sunil Daga, David Briggs, Robert Higgins, Natasha Khovanova	83
13	Subclass analysis of donorHLA‐specific IgG in antibody‐incompatible renal transplantation reveals a significant association of IgG₄with rejection and graft failure 2015 ·Transplant International ·Natasha Khovanova, Sunil Daga, Torgyn Shaikhina, Nithya Krishnan, James H. Jones, Daniel Zehnder, Daniel A. Mitchell, Robert Higgins, David Briggs, David Lowe	46
14	Novel data-driven stochastic model for antibody dynamics in kidney transplantation∗∗This work has been supported by EPSRC UK (EP/K02504X/1). 2015 ·IFAC-PapersOnLine ·(unknown), David Lowe, David Briggs, Robert Higgins, Natasha Khovanova	1
15	Artificial neural networks in hard tissue engineering: Another look at age-dependence of trabecular bone properties in osteoarthritis 2014 ·Torgyn Shaikhina, Natasha Khovanova, Kajal K. Mallick	10
16	Generalised stochastic model for characterisation of subcutaneous glucose time series 2014 ·Natasha Khovanova, Yan Zhang, Tim Holt	5

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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