Nir Goldstein

798 total citations
30 papers, 520 citations indexed

About

Nir Goldstein is a scholar working on Physiology, Epidemiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Nir Goldstein has authored 30 papers receiving a total of 520 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Physiology, 9 papers in Epidemiology and 8 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Nir Goldstein's work include Non-Invasive Vital Sign Monitoring (8 papers), Adipose Tissue and Metabolism (7 papers) and Adipokines, Inflammation, and Metabolic Diseases (7 papers). Nir Goldstein is often cited by papers focused on Non-Invasive Vital Sign Monitoring (8 papers), Adipose Tissue and Metabolism (7 papers) and Adipokines, Inflammation, and Metabolic Diseases (7 papers). Nir Goldstein collaborates with scholars based in Israel, Germany and United States. Nir Goldstein's co-authors include Yftach Gepner, Yulia Haim, Arik Eisenkraft, Assaf Rudich, Dean Nachman, Matthias Blüher, Boris Kirshtein, Iris Shai, Ilana Harman‐Boehm and Nava Bashan and has published in prestigious journals such as SHILAP Revista de lepidopterología, American Journal of Clinical Nutrition and Diabetes.

In The Last Decade

Nir Goldstein

29 papers receiving 514 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Nir Goldstein Israel 13 184 184 138 131 113 30 520
R Cartier France 12 56 0.3× 108 0.6× 128 0.9× 64 0.5× 46 0.4× 35 417
Maria da Glória Rodrigues‐Machado Brazil 13 52 0.3× 111 0.6× 202 1.5× 91 0.7× 29 0.3× 39 553
Edward T. Gilbert-Kawai United Kingdom 11 59 0.3× 107 0.6× 88 0.6× 53 0.4× 33 0.3× 31 558
Sanjay Bhandari United Kingdom 11 52 0.3× 131 0.7× 181 1.3× 98 0.7× 30 0.3× 27 580
Göran Johansson Sweden 12 57 0.3× 83 0.5× 112 0.8× 96 0.7× 35 0.3× 38 427
Weihua Chen China 12 168 0.9× 103 0.6× 111 0.8× 63 0.5× 11 0.1× 47 546
Yun‐Ru Lai Taiwan 12 61 0.3× 94 0.5× 100 0.7× 71 0.5× 29 0.3× 57 454
D Baum United States 14 201 1.1× 87 0.5× 206 1.5× 272 2.1× 94 0.8× 32 592
Michael McCormick United States 13 264 1.4× 43 0.2× 277 2.0× 63 0.5× 41 0.4× 37 736
Chutintorn Sriphrapradang Thailand 16 51 0.3× 67 0.4× 27 0.2× 130 1.0× 45 0.4× 79 673

Countries citing papers authored by Nir Goldstein

Since Specialization
Citations

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

Fields of papers citing papers by Nir Goldstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nir Goldstein

This figure shows the co-authorship network connecting the top 25 collaborators of Nir Goldstein. A scholar is included among the top collaborators of Nir Goldstein 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 Nir Goldstein. Nir Goldstein 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
1.
Nachman, Dean, Arik Eisenkraft, Eldad Rahamim, et al.. (2025). Assessing Cardiac Flow Measurements Using a Noninvasive Photoplethysmography-Based Device Compared to Invasive Pulmonary Artery Catheter. JACC Advances. 4(9). 102093–102093.
2.
3.
Eisenkraft, Arik, et al.. (2023). Developing a real-time detection tool and an early warning score using a continuous wearable multi-parameter monitor. Frontiers in Physiology. 14. 1138647–1138647. 15 indexed citations
4.
5.
Goldstein, Nir, Arik Eisenkraft, Offer Amir, et al.. (2022). Advanced Hemodynamic Monitoring Allows Recognition of Early Response Patterns to Diuresis in Congestive Heart Failure Patients. Journal of Clinical Medicine. 12(1). 45–45. 4 indexed citations
6.
Nachman, Dean, et al.. (2022). Influence of Sex, BMI, and Skin Color on the Accuracy of Non-Invasive Cuffless Photoplethysmography-Based Blood Pressure Measurements. Frontiers in Physiology. 13. 911544–911544. 10 indexed citations
7.
Markus, Irit, Keren Constantini, Nir Goldstein, et al.. (2022). Age Differences in Recovery Rate Following an Aerobic-Based Exercise Protocol Inducing Muscle Damage Among Amateur, Male Athletes. Frontiers in Physiology. 13. 916924–916924. 3 indexed citations
8.
Gepner, Yftach, Matan Yechezkel, Keren Constantini, et al.. (2022). Utilizing wearable sensors for continuous and highly-sensitive monitoring of reactions to the BNT162b2 mRNA COVID-19 vaccine. SHILAP Revista de lepidopterología. 2(1). 27–27. 21 indexed citations
9.
Constantini, Keren, Nir Goldstein, Noam Ben‐Eliezer, et al.. (2022). Is The Recovery Rate From Exercise-induced Muscle Damage Between Young And Middle-aged Active Men Comparable?. Medicine & Science in Sports & Exercise. 54(9S). 547–547. 1 indexed citations
10.
Gepner, Yftach, Nir Goldstein, Ilan Shelef, et al.. (2021). Dissociation Between Long-term Weight Loss Intervention and Blood Pressure: an 18-month Randomized Controlled Trial. Journal of General Internal Medicine. 36(8). 2300–2306. 4 indexed citations
11.
12.
Nachman, Dean, et al.. (2021). 24-hour ambulatory blood pressure measurement using a novel non-invasive, cuff-less, wireless device. European Heart Journal. 42(Supplement_1). 1 indexed citations
13.
Eisenkraft, Arik, ‪Yasmin Maor‬‏, Keren Constantini, et al.. (2021). Continuous Remote Patient Monitoring Shows Early Cardiovascular Changes in COVID-19 Patients. Journal of Clinical Medicine. 10(18). 4218–4218. 12 indexed citations
14.
Saidemberg, Daniel M., Natalya M. Kogan, Nir Goldstein, et al.. (2020). Distinct infrastructure of lipid networks in visceral and subcutaneous adipose tissues in overweight humans. American Journal of Clinical Nutrition. 112(4). 979–990. 11 indexed citations
15.
Nachman, Dean, et al.. (2020). Comparing blood pressure measurements between a photoplethysmography-based and a standard cuff-based manometry device. Scientific Reports. 10(1). 16116–16116. 70 indexed citations
16.
Pecht, Tal, Yulia Haim, Vered Chalifa‐Caspi, et al.. (2020). A TRAIL-TL1A Paracrine Network Involving Adipocytes, Macrophages, and Lymphocytes Induces Adipose Tissue Dysfunction Downstream of E2F1 in Human Obesity. Diabetes. 69(11). 2310–2323. 19 indexed citations
17.
Haim, Yulia, Matthias Blüher, Daniel Konrad, et al.. (2017). ASK1 (MAP3K5) is transcriptionally upregulated by E2F1 in adipose tissue in obesity, molecularly defining a human dys-metabolic obese phenotype. Molecular Metabolism. 6(7). 725–736. 28 indexed citations
18.
Haim, Yulia, Nir Goldstein, Boris Kirshtein, et al.. (2016). Decreased adiponectin links elevated adipose tissue autophagy with adipocyte endocrine dysfunction in obesity. International Journal of Obesity. 40(6). 912–920. 28 indexed citations
19.
Haim, Yulia, Matthias Blüher, Nir Goldstein, et al.. (2015). Elevated autophagy gene expression in adipose tissue of obese humans: A potential non-cell-cycle-dependent function of E2F1. Autophagy. 11(11). 2074–2088. 85 indexed citations
20.
Goldstein, Nir, et al.. (2015). Immediate Metabolic Response Following Sleeve Gastrectomy in Obese Diabetics. Obesity Surgery. 25(11). 2023–2029. 11 indexed citations

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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