Robert L. Bacallao

5.7k citations
82 papers · 4.3k indexed · 1 hit paper · h-index 34

Robert L. Bacallao

82 papers receiving 4.2k citations

Hit Papers

The gene mutated in autosomal recessive polycystic kidney...5252002202620102018100200300400500

Peers

Robert L. Bacallao
Comparison fields: 5 of 123
  • Nephrology 539
  • Cell Biology 953
  • Genetics 1.5k
  • Molecular Biology 2.7k
  • Biophysics 199
Replace Jagesh V. Shah with:
Jagesh V. Shah United States
Daniela Malide United States
Søren Jensby Nielsen Denmark
Tadashi Yamamoto Japan
Paola Scaffidi United Kingdom
Frank N. van Leeuwen Netherlands
Robert P. Wersto United States
Maurizio Sorice Italy
Nicole Endlich Germany
Cara J. Gottardi United States
Robert L. Bacallao relative to Jagesh V. Shah United States Jagesh V. Shah's profile →
Citations per field
00.5×1.5×
Jagesh V. Shah · 1×
Citations per year

Countries citing papers authored by Robert L. Bacallao

Since Specialization
Citations

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

Fields of papers citing papers by Robert L. Bacallao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert L. Bacallao. 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 Robert L. Bacallao. The network helps show where Robert L. Bacallao may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20213
2 202010
3 201824
4
In Vivo siRNA Delivery and Rebound of Renal LRP2 in Mice
20171
5 201626
6 201310
7 20118
8 201128
9 201157
10 200970
11 200911
12 200843
13 20061
14 2004119
15 20035
16 200285
17
The gene mutated in autosomal recessive polycystic kidney disease encodes a large, receptor-like proteinbreakdown →
2002525
18 200032
19 199868
20 199531

About Robert L. Bacallao

Robert L. Bacallao is a scholar working on Genetics, Nephrology and Molecular Biology, having authored 82 papers that have together received 4.3k indexed citations. Recurring topics across this work include Genetic and Kidney Cyst Diseases (36 papers), Renal and related cancers (34 papers), Biomedical Research and Pathophysiology (12 papers), Hedgehog Signaling Pathway Studies (7 papers), Cellular transport and secretion (7 papers), Pediatric Urology and Nephrology Studies (5 papers), Genetic Syndromes and Imprinting (4 papers) and Organ Donation and Transplantation (4 papers). The work is most often cited by research in Nephrology (539 citations), Cell Biology (953 citations) and Genetics (1.5k citations). Robert L. Bacallao has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Lazaro J. Mandel, Angela Wandinger‐Ness, Guido A. Zampighi, Ernst H. K. Stelzer, Peter C. Harris, Carlos G. Dotti, Kai Simons, William Wickner, C. Antony and Eric Karsenti. Their work appears in journals such as American Journal of Physiology-Renal Physiology, American Journal of Physiology-Cell Physiology, Kidney International, The Journal of Cell Biology and Molecular Biology of the Cell.

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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