Brian Wasserman

564 citations
6 papers · 375 · h-index 4

Impact in

  • Nephrology top 5%
    • Dialysis and Renal Disease Management
    • Chronic Kidney Disease and Diabetes
  • Hematology top 5%
    • Erythropoietin and Anemia Treatment
    • Iron Metabolism and Disorders

Papers in

Brian Wasserman

5 papers receiving 347 citations

Peers

Brian Wasserman
Comparison fields: 5 of 66
  • Nephrology 186
  • Hematology 259
  • Genetics 119
  • Biochemistry 20
  • Transplantation 7
Replace Rubeen Israni with:
Rubeen Israni United States
Petros Nikolopoulos Greece
Kevin Stefanik United States
Kenneth Farrington United Kingdom
Claire White Germany
Robert Mushnick United States
N P Lewis United Kingdom
Heleen van Haalen Sweden
Philippe Madhoun Belgium
Antonio Torralbo Spain
Brian Wasserman relative to Rubeen Israni United States Rubeen Israni's profile →
Citations per field
00.5×
Rubeen Israni · 1×
Citations per year

Countries citing papers authored by Brian Wasserman

Since Specialization
Citations

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

Fields of papers citing papers by Brian Wasserman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

6 of 6 papers shown
#Work
1 2004348
2 201816
3 19787
4 20173
5
Lump Sum Estimating: Discovery and Simulation
20121
6 20200

About Brian Wasserman

Brian Wasserman is a scholar working on Surgery, Nephrology, Genetics, Critical Care and Intensive Care Medicine and Cardiology and Cardiovascular Medicine, having authored 6 papers that have together received 375 indexed citations. Recurring topics across this work include Diabetes Management and Research (1 paper), Hemoglobinopathies and Related Disorders (1 paper), Pneumocystis jirovecii pneumonia detection and treatment (1 paper), Iron Metabolism and Disorders (1 paper), Diabetes Management and Education (1 paper), Intensive Care Unit Cognitive Disorders (1 paper), Cardiac Health and Mental Health (1 paper) and Construction Project Management and Performance (1 paper). The work is most often cited by research in Nephrology (186 citations), Hematology (259 citations), Genetics (119 citations), Biochemistry (20 citations) and Transplantation (7 citations). Brian Wasserman has collaborated with scholars based in United States. Frequent co-authors include W. Kline Bolton, Stephen Aronoff, Sally A. Hood, K. Linda Tang, William McClellan, Thomas F. Tse, Daniel L. Lorber, Laurie D. Snyder, Gregory L. Stonerock and P.D. Harvey. Their work appears in journals such as Current Medical Research and Opinion, British Journal of Haematology, Biology of Blood and Marrow Transplantation and Transplantation Direct.

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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