Jeffrey Haessler

20.9k total citations
15 papers, 885 citations indexed

About

Jeffrey Haessler is a scholar working on Hematology, Molecular Biology and Genetics. According to data from OpenAlex, Jeffrey Haessler has authored 15 papers receiving a total of 885 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Hematology, 6 papers in Molecular Biology and 5 papers in Genetics. Recurrent topics in Jeffrey Haessler's work include Multiple Myeloma Research and Treatments (6 papers), Genetic Associations and Epidemiology (4 papers) and Protein Degradation and Inhibitors (3 papers). Jeffrey Haessler is often cited by papers focused on Multiple Myeloma Research and Treatments (6 papers), Genetic Associations and Epidemiology (4 papers) and Protein Degradation and Inhibitors (3 papers). Jeffrey Haessler collaborates with scholars based in United States, South Africa and Sweden. Jeffrey Haessler's co-authors include Elias Anaissie, John D. Shaughnessy, John Crowley, Bart Barlogie, Joshua Epstein, Mauricio Pineda‐Roman, Klaus Hollmig, Frits van Rhee, Maurizio Zangari and Abid Mohiuddin and has published in prestigious journals such as Circulation, Journal of Clinical Oncology and Blood.

In The Last Decade

Jeffrey Haessler

15 papers receiving 872 citations

Peers

Jeffrey Haessler
Comparison fields: 5 of 69
  • Hematology 731
  • Molecular Biology 541
  • Oncology 398
  • Genetics 87
  • Surgery 58
Replace Miguel‐Teodoro Hernández with:
Miguel‐Teodoro Hernández Spain
RA Kyle United States
M. A. Gertz United States
Lucia Pantani Italy
Anne Marie Stoppa France
Christiane Heiß Germany
Beatrice Anna Zannetti Italy
M. L. Vegna Italy
Emma Das‐Gupta United Kingdom
Antonietta Falcone Italy
Miguel‐Teodoro Hernández Spain View profile →
Citations per field, relative to Jeffrey Haessler
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Citations per year, relative to Jeffrey Haessler
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Countries citing papers authored by Jeffrey Haessler

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey Haessler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeffrey Haessler

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

All Works

15 of 15 papers shown
# Work Indexed citations
1 4
2 1
3 4
4 21
5 1
6 15
7 50
8 28
9 90
10 24
11 75
12 38
13 283
14 245
15 6

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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