NE Traub

449 citations
8 papers · 361 · h-index 6

Impact in

  • Hepatology top 5%
    • Hepatitis C virus research
  • Genetics top 10%
    • Chronic Lymphocytic Leukemia Research
    • Myeloproliferative Neoplasms: Diagnosis and Treatment

Papers in

    • Chronic Lymphocytic Leukemia Research 4
    • T-cell and Retrovirus Studies 2
    • Immunodeficiency and Autoimmune Disorders 1

NE Traub

8 papers receiving 328 citations

Peers

NE Traub
Comparison fields: 5 of 41
  • Hepatology 175
  • Genetics 128
  • Hematology 59
  • Pathology and Forensic Medicine 78
  • Epidemiology 97
Replace Elisabetta Pussini with:
Elisabetta Pussini Italy
Vincenzo Mettivier Italy
Chi-Cheng Li Taiwan
Prista Charuworn United States
M.-S. Dai Taiwan
S. Paganin Italy
Doerthe Eckert United States
A. Bucci Italy
A. M. Brind United Kingdom
Neerja Agrawal United States
NE Traub relative to Elisabetta Pussini Italy Elisabetta Pussini's profile →
Citations per field
00.5×
Elisabetta Pussini · 1×
Citations per year

Countries citing papers authored by NE Traub

Since Specialization
Citations

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

Fields of papers citing papers by NE Traub

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside NE Traub, 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 NE Traub Line = papers co-authored together NE Traub links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2011200
2 198165
3 198133
4 198133
5 198717
6
Sezary cell-like leukemia: a distinct type of mature T cell malignancy.
199010
7
Some clinical and haematological features of typhoid fever in Zambia treated with co-trimoxazole.
19762
8 20081

About NE Traub

NE Traub is a scholar working on Genetics, Immunology, Hematology, Pathology and Forensic Medicine and Surgery, having authored 8 papers that have together received 361 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (4 papers), Lymphoma Diagnosis and Treatment (2 papers), T-cell and Retrovirus Studies (2 papers), Acute Myeloid Leukemia Research (1 paper), Immunodeficiency and Autoimmune Disorders (1 paper), Hepatitis B Virus Studies (1 paper), Renal Diseases and Glomerulopathies (1 paper) and Blood groups and transfusion (1 paper). The work is most often cited by research in Hepatology (175 citations), Genetics (128 citations), Hematology (59 citations), Pathology and Forensic Medicine (78 citations) and Epidemiology (97 citations). NE Traub has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Brian L. Pearlman, C. Costello, Maureen M. O’Brien, Daniel Catovsky, A. Manoharan, D. A. G. Galton, D Loukopoulos, M.J. Mills, Michael J. Mills and D C Linch. Their work appears in journals such as Blood, Clinical Infectious Diseases, British Journal of Haematology, PubMed and BMJ.

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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