Jeffrey S. Haug

3.9k citations
30 papers · 2.4k indexed · 1 hit paper · h-index 20
Topics
Hematopoietic Stem Cell Transplantation (6 papers)Genomics and Chromatin Dynamics (6 papers)Computational Drug Discovery Methods (3 papers)
Partner nations
United StatesJapanIndia

In The Last Decade

Jeffrey S. Haug

30 papers receiving 2.4k citations

Hit Papers

PTEN maintains haematopoietic stem cells and acts in line...20062026201220192006200400600

Peers

Jeffrey S. Haug
Comparison fields: 5 of 105
  • Molecular Biology 1.6k
  • Hematology 679
  • Cancer Research 397
  • Oncology 388
  • Immunology 387
Replace Olivier Albagli with:
Olivier Albagli France
Lluı́s Espinosa Spain
Javier León Spain
Weiping Yuan China
Feyruz V. Rassool United States
M. Dolores Delgado Spain
Richard J. D’Andrea Australia
Oliver Bischof France
L Nelles Belgium
Andrew L. Darrow United States
Jeffrey S. Haug relative to Olivier Albagli France Olivier Albagli's profile →
Citations per field
00.5×1.5×2.4×
Olivier Albagli · 1×
Citations per year

Countries citing papers authored by Jeffrey S. Haug

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey S. Haug

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeffrey S. Haug

This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey S. Haug. A scholar is included among the top collaborators of Jeffrey S. Haug 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 S. Haug. Jeffrey S. Haug 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
#WorkIndexed citations
1 2
2 99
3 89
4 2
5 131
6 89
7 16
8 2
9 220
10 213
11 140
12 113
13
PTEN maintains haematopoietic stem cells and acts in lineage choice and leukaemia preventionbreakdown →
640
14 10
15 29
16 26
17 65
18 50
19 74
20 43

About Jeffrey S. Haug

Jeffrey S. Haug is a scholar working on Hematology, Biochemistry and Molecular Biology, having authored 30 papers that have together received 2.4k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (6 papers), Genomics and Chromatin Dynamics (6 papers) and Computational Drug Discovery Methods (3 papers). The work is most often cited by research in Hematology (679 citations), Cancer Research (397 citations) and Molecular Biology (1.6k citations). Jeffrey S. Haug has collaborated with scholars based in United States, Japan and India. Frequent co-authors include Linheng Li, Xi He, Justin C. Grindley, Jason T. Ross, George Melnykovych, Tong Yin, Leanne M. Wiedemann, Jiwang Zhang, Hong Wu and Ryohichi Sugimura. Their work appears in journals such as Nature, Cell and Genes & Development.

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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