Marcia Landa

2.0k total citations · 1 hit paper
7 papers, 1.4k citations indexed

About

Marcia Landa is a scholar working on Nephrology, Cardiology and Cardiovascular Medicine and Pathology and Forensic Medicine. According to data from OpenAlex, Marcia Landa has authored 7 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Nephrology, 3 papers in Cardiology and Cardiovascular Medicine and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Marcia Landa's work include Blood Pressure and Hypertension Studies (3 papers), Breast Cancer Treatment Studies (2 papers) and Chronic Kidney Disease and Diabetes (2 papers). Marcia Landa is often cited by papers focused on Blood Pressure and Hypertension Studies (3 papers), Breast Cancer Treatment Studies (2 papers) and Chronic Kidney Disease and Diabetes (2 papers). Marcia Landa collaborates with scholars based in United States, Netherlands and Pakistan. Marcia Landa's co-authors include Andrew S. Levey, Tazeen H. Jafar, Dick de Zeeuw, Christopher H. Schmid, Paul C. Stark, Shahnaz Shahinfar, Paul E. de Jong, Giuseppe Maschio, Robert D. Toto and Giuseppe Remuzzi and has published in prestigious journals such as Annals of Internal Medicine, Cancer and Kidney International.

In The Last Decade

Marcia Landa

7 papers receiving 1.3k citations

Hit Papers

Progression of Chronic Kidney Disease: The Role of Blood ... 2003 2026 2010 2018 2003 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marcia Landa United States 7 781 660 245 205 137 7 1.4k
Roberto Benini Italy 8 579 0.7× 587 0.9× 285 1.2× 176 0.9× 109 0.8× 8 1.2k
G. Buccianti Italy 19 689 0.9× 383 0.6× 168 0.7× 239 1.2× 249 1.8× 49 1.7k
Dimitrios Tsakiris United Kingdom 12 1.2k 1.5× 289 0.4× 106 0.4× 134 0.7× 151 1.1× 22 2.3k
Jean‐Claude Aldigier France 23 622 0.8× 625 0.9× 386 1.6× 215 1.0× 175 1.3× 63 1.9k
Antonio Bossi Italy 17 665 0.9× 647 1.0× 731 3.0× 265 1.3× 224 1.6× 49 1.9k
Christoph Wanner Germany 13 453 0.6× 187 0.3× 197 0.8× 119 0.6× 372 2.7× 22 1.1k
Juan D. Ordoñez United States 15 1.6k 2.0× 445 0.7× 135 0.6× 324 1.6× 371 2.7× 20 2.4k
François Madore Canada 25 639 0.8× 362 0.5× 98 0.4× 184 0.9× 289 2.1× 73 1.4k
Maura Ravera Italy 25 641 0.8× 1.1k 1.7× 288 1.2× 278 1.4× 172 1.3× 61 1.7k
H. Mulec Sweden 18 782 1.0× 690 1.0× 581 2.4× 180 0.9× 357 2.6× 20 1.5k

Countries citing papers authored by Marcia Landa

Since Specialization
Citations

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

Fields of papers citing papers by Marcia Landa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcia Landa

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

All Works

7 of 7 papers shown
1.
Kent, David M., Tazeen H. Jafar, Rodney A. Hayward, et al.. (2007). Progression Risk, Urinary Protein Excretion, and Treatment Effects of Angiotensin-Converting Enzyme Inhibitors in Nondiabetic Kidney Disease. Journal of the American Society of Nephrology. 18(6). 1959–1965. 118 indexed citations
2.
Schmid, Christopher H., Marcia Landa, Tazeen H. Jafar, et al.. (2003). Constructing a database of individual clinical trials for longitudinal analysis. Controlled Clinical Trials. 24(3). 324–340. 18 indexed citations
3.
Jafar, Tazeen H., Paul C. Stark, Christopher H. Schmid, et al.. (2003). Progression of Chronic Kidney Disease: The Role of Blood Pressure Control, Proteinuria, and Angiotensin-Converting Enzyme Inhibition: A Patient-Level Meta-Analysis. Annals of Internal Medicine. 139(4). 244–252. 775 indexed citations breakdown →
4.
Neuschatz, Andrew C., Thomas A. DiPetrillo, Margaret M. Steinhoff, et al.. (2002). The value of breast lumpectomy margin assessment as a predictor of residual tumor burden in ductal carcinoma in situ of the breast. Cancer. 94(7). 1917–1924. 89 indexed citations
5.
Jafar, Tazeen H., Paul C. Stark, Christopher H. Schmid, et al.. (2001). Proteinuria as a modifiable risk factor for the progression of non-diabetic renal disease. Kidney International. 60(3). 1131–1140. 292 indexed citations
6.
Neuschatz, Andrew C., Thomas A. DiPetrillo, Homa Safaii, et al.. (2001). Margin width as a determinant of local control with and without radiation therapy for ductal carcinoma in situ (DCIS) of the breast. International Journal of Cancer. 96(S1). 97–97. 30 indexed citations
7.
Athienites, Nicolaos V., Dana C. Miskulin, Gladys Fernandez, et al.. (2000). Comorbidity Assessment in Hemodialysis and Peritoneal Dialysis Using the Index of Coexistent Disease. Seminars in Dialysis. 13(5). 320–326. 95 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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