Jeff Schriber

671 citations
10 papers · 515 · h-index 8

Impact in

  • Hematology top 5%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
    • Multiple Myeloma Research and Treatments
    • Renal Transplantation Outcomes and Treatments

Papers in

Jeff Schriber

10 papers receiving 506 citations

Peers

Jeff Schriber
Comparison fields: 5 of 49
  • Hematology 373
  • Transplantation 52
  • Oncology 131
  • Genetics 43
  • Public Health, Environmental and Occupational Health 107
Replace B-S Cho with:
B-S Cho South Korea
SJ Forman United States
K-S Eom South Korea
Anup Joseph Devasia India
S.K. Sohn South Korea
MA Cheever United States
A. Birgitta Versluijs Netherlands
Oriana López‐Godino Spain
Clarence B. Sarkodee-Adoo United States
David Leverett United Kingdom
Jeff Schriber relative to B-S Cho South Korea B-S Cho's profile →
Citations per field
00.5×1.5×2.2×
B-S Cho · 1×
Citations per year

Countries citing papers authored by Jeff Schriber

Since Specialization
Citations

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

Fields of papers citing papers by Jeff Schriber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2012206
2 2016131
3 201748
4 200741
5 201832
6 202224
7 201915
8 199013
9 20023
10 20052

About Jeff Schriber

Jeff Schriber is a scholar working on Hematology, Pathology and Forensic Medicine, Genetics, Public Health, Environmental and Occupational Health and Transplantation, having authored 10 papers that have together received 515 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (5 papers), Lymphoma Diagnosis and Treatment (3 papers), Acute Lymphoblastic Leukemia research (3 papers), Acute Myeloid Leukemia Research (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Multiple Myeloma Research and Treatments (2 papers), Blood disorders and treatments (1 paper) and CAR-T cell therapy research (1 paper). The work is most often cited by research in Hematology (373 citations), Transplantation (52 citations), Oncology (131 citations), Genetics (43 citations) and Public Health, Environmental and Occupational Health (107 citations). Jeff Schriber has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Mary M. Horowitz, Shaun R. Opie, Wael Saber, J. Douglas Rizzo, Mei‐Jie Zhang, Joseph Pidala, Jeanne M. Palmer, Nina D. Shah, Moustapha Hassan and John R. Wingard. Their work appears in journals such as Transplantation and Cellular Therapy, Blood, Drugs, Bone Marrow Transplantation and The Prostate.

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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