Lawrence E. Morris

4.2k citations
122 papers · 2.8k indexed · h-index 23

Impact in

  • Hematology top 0.2%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
    • Renal Transplantation Outcomes and Treatments

Papers in

    • Hematopoietic Stem Cell Transplantation 76
    • Acute Myeloid Leukemia Research 38
    • Multiple Myeloma Research and Treatments 10
    • Renal Transplantation Outcomes and Treatments 18

Lawrence E. Morris

115 papers receiving 2.7k citations

Peers

Lawrence E. Morris
Comparison fields: 5 of 91
  • Hematology 2.2k
  • Transplantation 257
  • Immunology 993
  • Oncology 962
  • Genetics 266
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Citations per field
00.5×4.6×
Richard Champlin · 1×
Citations per year

Countries citing papers authored by Lawrence E. Morris

Since Specialization
Citations

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

Fields of papers citing papers by Lawrence E. Morris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lawrence E. Morris. 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 Lawrence E. Morris. The network helps show where Lawrence E. Morris may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 122 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013333
2 2008270
3 2012207
4 2009191
5 2004143
6 2006129
7 2015112
8 2020106
9 2015105
10 200798
11 200792
12 200372
13 201069
14 201861
15 201645
16 201441
17 200439
18 201638
19 201433
20 200931

About Lawrence E. Morris

Lawrence E. Morris is a scholar working on Hematology, Transplantation, Oncology, Immunology and Genetics, having authored 122 papers that have together received 2.8k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (76 papers), Acute Myeloid Leukemia Research (38 papers), Acute Lymphoblastic Leukemia research (20 papers), Polyomavirus and related diseases (18 papers), Renal Transplantation Outcomes and Treatments (18 papers), T-cell and B-cell Immunology (17 papers), Immune Cell Function and Interaction (15 papers) and Multiple Myeloma Research and Treatments (10 papers). The work is most often cited by research in Hematology (2.2k citations), Transplantation (257 citations), Immunology (993 citations), Oncology (962 citations) and Genetics (266 citations). Lawrence E. Morris has collaborated with scholars based in United States, Netherlands and Belgium. Frequent co-authors include Asad Bashey, Scott R. Solomon, H. Kent Holland, Stacey Brown, Xu Zhang, Connie A. Sizemore, Melhem Solh, Melissa Sanacore, Karen Manion and Ivana Gojo. Their work appears in journals such as Blood, Biology of Blood and Marrow Transplantation, Bone Marrow Transplantation, Transplantation and Cellular Therapy and Blood Advances.

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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