Fansan Zhu

2.6k total citations · 1 hit paper
66 papers, 2.0k citations indexed

About

Fansan Zhu is a scholar working on Physiology, Nephrology and Surgery. According to data from OpenAlex, Fansan Zhu has authored 66 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Physiology, 39 papers in Nephrology and 31 papers in Surgery. Recurrent topics in Fansan Zhu's work include Body Composition Measurement Techniques (51 papers), Dialysis and Renal Disease Management (39 papers) and Electrical and Bioimpedance Tomography (30 papers). Fansan Zhu is often cited by papers focused on Body Composition Measurement Techniques (51 papers), Dialysis and Renal Disease Management (39 papers) and Electrical and Bioimpedance Tomography (30 papers). Fansan Zhu collaborates with scholars based in United States, Germany and China. Fansan Zhu's co-authors include Nathan W. Levin, Martin K. Kuhlmann, Peter Kotanko, Charoen Kaitwatcharachai, Daniel Schneditz, George A. Kaysen, Edward F. Leonard, Eric Seibert, Peter Wabel and Ulrich Moissl and has published in prestigious journals such as American Journal of Clinical Nutrition, Journal of Applied Physiology and Kidney International.

In The Last Decade

Fansan Zhu

62 papers receiving 2.0k citations

Hit Papers

Body fluid volume determination via body composition spec... 2006 2026 2012 2019 2006 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fansan Zhu United States 24 1.3k 1.1k 856 541 265 66 2.0k
Paul Chamney Germany 17 1.3k 1.0× 2.3k 2.0× 1.3k 1.5× 295 0.5× 504 1.9× 24 2.9k
Oliver Korth Germany 7 794 0.6× 595 0.5× 395 0.5× 166 0.3× 222 0.8× 8 1.4k
Krassimir Katzarski Sweden 12 598 0.5× 550 0.5× 380 0.4× 81 0.1× 280 1.1× 14 1.2k
Luana Pillon Italy 12 1.2k 0.9× 312 0.3× 376 0.4× 577 1.1× 61 0.2× 17 1.5k
Deanna K. Levenhagen United States 13 741 0.6× 583 0.5× 245 0.3× 33 0.1× 51 0.2× 17 1.5k
Radu Andy Sascău Romania 19 211 0.2× 290 0.3× 370 0.4× 22 0.0× 440 1.7× 92 1.1k
Pietro Di Pasquale Italy 21 172 0.1× 188 0.2× 265 0.3× 44 0.1× 1.3k 4.8× 60 1.7k
G. Enia Italy 16 220 0.2× 597 0.5× 258 0.3× 8 0.0× 243 0.9× 39 982
Roel M. Huisman Netherlands 15 150 0.1× 680 0.6× 374 0.4× 9 0.0× 173 0.7× 25 893
Robert Sümpelmann Germany 21 179 0.1× 271 0.2× 825 1.0× 13 0.0× 523 2.0× 95 1.5k

Countries citing papers authored by Fansan Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Fansan Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fansan Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Fansan Zhu. A scholar is included among the top collaborators of Fansan Zhu 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 Fansan Zhu. Fansan Zhu 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.
Zhu, Fansan, Laura Merlo, Xiaoling Wang, et al.. (2025). Relationship between intraperitoneal volume and intraperitoneal pressure during peritoneal dialysis—a pilot study in adult patients. Physiological Reports. 13(5). e70179–e70179.
2.
Zhu, Fansan, et al.. (2024). Determination of Extra- and Intraperitoneal Fluid During Peritoneal Dialysis Using Bioimpedance. IEEE Transactions on Biomedical Engineering. 71(12). 3350–3357. 1 indexed citations
3.
Zhu, Fansan, George A. Kaysen, Shubho R. Sarkar, et al.. (2019). Evaluation of one year of frequent dialysis on fluid load and body composition using calf bioimpedance technique. Physiological Measurement. 40(5). 55004–55004. 1 indexed citations
4.
Zhu, Fansan, et al.. (2019). Monitoring of Intraperitoneal Fluid Volume during Peritoneal Equilibration Testing using Segmental Bioimpedance. Kidney & Blood Pressure Research. 44(6). 1465–1475. 4 indexed citations
5.
Thijssen, Stephan, E. Lars Penne, Jochen G. Raimann, et al.. (2017). Effect of Change in Fluid Status Evaluated by Bioimpedance Techniques on Body Composition in Hemodialysis Patients. Journal of Renal Nutrition. 28(3). 183–190. 9 indexed citations
6.
Zhu, Fansan, et al.. (2016). Estimation of arterio-venous access blood flow in hemodialysis patients using video image processing technique. PubMed. 2016. 207–210. 5 indexed citations
7.
Lim, Paik‐Seong, et al.. (2016). Validating Body Fat Assessment by Bioelectric Impedance Spectroscopy in Taiwanese Hemodialysis Patients. Journal of Renal Nutrition. 27(1). 37–44. 23 indexed citations
8.
Seibert, Eric, Stephan Müller, Peter Kotanko, et al.. (2016). Calf Resistivity Values in Chronic Kidney Disease in a Caucasian Population. ˜The œNephron journals/Nephron journals. 135(3). 196–200. 4 indexed citations
9.
Zhu, Fansan & Nathan W. Levin. (2015). Estimation of Body Composition and Normal Fluid Status Using a Calf Bioimpedance Technique. Blood Purification. 39(1-3). 25–31. 17 indexed citations
10.
Zhu, Fansan, et al.. (2014). Bioimpedance Can Solve Problems of Fluid Overload. Journal of Renal Nutrition. 25(2). 234–237. 23 indexed citations
11.
Seibert, Eric, Stephan Müller, Peter Fries, et al.. (2013). Calf Bioimpedance Spectroscopy for Determination of Dry Weight in Hemodialysis Patients: Effects on Hypertension and Left Ventricular Hypertrophy. Kidney & Blood Pressure Research. 37(1). 58–67. 17 indexed citations
13.
Liu, Li, Fansan Zhu, Jochen G. Raimann, et al.. (2011). Determination of fluid status in haemodialysis patients with whole body and calf bioimpedance techniques. Nephrology. 17(2). 131–140. 16 indexed citations
14.
Kaysen, George A., Peter Kotanko, Fansan Zhu, et al.. (2008). Estimation of Adipose Pools in Hemodialysis Patients From Anthropometric Measures. Journal of Renal Nutrition. 18(6). 473–478. 8 indexed citations
15.
Zhu, Fansan, Edward F. Leonard, Mary Carter, & Nathan W. Levin. (2006). Continuous Measurement of Calf Resistivity in Hemodialysis Patients using Bioimpedance Analysis. PubMed. 27. 5126–5128. 8 indexed citations
16.
Levin, Nathan W., Fansan Zhu, Eric Seibert, Claudio Ronco, & Martin K. Kuhlmann. (2005). Use of Segmental Multifrequency Bioimpedance Spectroscopy in Hemodialysis. Contributions to nephrology. 149. 162–167. 16 indexed citations
17.
Kuhlmann, Martin K., Fansan Zhu, Eric Seibert, & Nathan W. Levin. (2005). Bioimpedance, dry weight and blood pressure control: new methods and consequences. Current Opinion in Nephrology & Hypertension. 14(6). 543–549. 92 indexed citations
18.
Zhu, Fansan, Shubho R. Sarkar, Charoen Kaitwatcharachai, et al.. (2003). Methods and Reproducibility of Measurement of Resistivity in the Calf Using Regional Bioimpedance Analysis. Blood Purification. 21(1). 131–136. 38 indexed citations
19.
Levin, Nathan W., et al.. (2002). Dry Weight Determination. Contributions to nephrology. 272–278. 2 indexed citations
20.
Levin, Nathan W., Fansan Zhu, & Marcia Keen. (2000). Interdialytic Weight Gain and Dry Weight. Blood Purification. 19(2). 217–221. 54 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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