Daniel L. Morris

3.5k citations
25 papers · 1.1k · h-index 12

Impact in

  • Immunology top 5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Reproductive System and Pregnancy
    • Immunotherapy and Immune Responses
    • IL-33, ST2, and ILC Pathways
  • Oncology top 10%
    • CAR-T cell therapy research

Papers in

Daniel L. Morris

24 papers receiving 1.1k citations

Peers

Daniel L. Morris
Comparison fields: 5 of 113
  • Immunology 768
  • Oncology 218
  • Hematology 54
  • Rheumatology 51
  • Transplantation 9
Replace Zheng Liu with:
Zheng Liu China
Sho Ishikawa Japan
Maki Ozawa Japan
Elisabetta Botti Italy
Domenico Russo Italy
Tianzhou Liu China
Moumita Ghosh United States
Kieng B. Vang United States
Daniel L. Morris relative to Zheng Liu China Zheng Liu's profile →
Citations per field
00.5×3.2×
Zheng Liu · 1×
Citations per year

Countries citing papers authored by Daniel L. Morris

Since Specialization
Citations

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

Fields of papers citing papers by Daniel L. Morris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001372
2 2001322
3 1999148
4 200638
5 201932
6 201631
7 195623
8 202021
9 201819
10 199214
11 202313
12 200911
13 201710
14 20208
15
A Large, Multi-Cell, Ecologically Engineered Passive Treatment System for Ferruginous Lead-Zinc Mine Waters
20108
16 20147
17 20216
18 20166
19 20195
20 20174

About Daniel L. Morris

Daniel L. Morris is a scholar working on Molecular Biology, Rheumatology, Physiology, Immunology and Materials Chemistry, having authored 25 papers that have together received 1.1k indexed citations. Recurring topics across this work include GDF15 and Related Biomarkers (4 papers), Protein Structure and Dynamics (3 papers), Alzheimer's disease research and treatments (2 papers), T-cell and B-cell Immunology (2 papers), Immune Cell Function and Interaction (2 papers), Nutrition and Health in Aging (2 papers), RNA and protein synthesis mechanisms (2 papers) and Metalloenzymes and iron-sulfur proteins (2 papers). The work is most often cited by research in Immunology (768 citations), Oncology (218 citations), Hematology (54 citations), Rheumatology (51 citations) and Transplantation (9 citations). Daniel L. Morris has collaborated with scholars based in United States, South Africa and Bulgaria. Frequent co-authors include Thomas A. Spies, Pingwei Li, Roland K. Strong, Alexander Steinle, Benjamin E. Willcox, Veronika Groh, Lewis L. Lanier, Stefan Bauer, Nico Tjandra and Thomas C. Leeper. Their work appears in journals such as Journal of Biological Chemistry, Molecules, Journal of Pharmaceutical Sciences, Scientific Reports and ACS Macro Letters.

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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