Daniel Ladd

1.4k citations
18 papers · 992 · h-index 9

Impact in

  • Nephrology top 2%
    • Parathyroid Disorders and Treatments
  • Hematology top 10%
    • Blood groups and transfusion

Papers in

    • Acute Myeloid Leukemia Research 2
    • Blood groups and transfusion 2
    • Platelet Disorders and Treatments 2
    • Hematological disorders and diagnostics 2

Daniel Ladd

16 papers receiving 961 citations

Peers

Daniel Ladd
Comparison fields: 5 of 95
  • Nephrology 286
  • Hematology 127
  • Biochemistry 63
  • Nutrition and Dietetics 119
  • Immunology 140
Replace Chia Chi Sun with:
Chia Chi Sun United States
Philippe Ancian France
Penny J. Norsworthy United Kingdom
Ruben Bierings Netherlands
Catherine C. Robertson Canada
Michaël Dussiot France
Eric A. Postel United States
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Citations per field
00.5×4.8×
Chia Chi Sun · 1×
Citations per year

Countries citing papers authored by Daniel Ladd

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Ladd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 1995431
2 1996129
3 1995101
4 1997101
5 200069
6 200461
7 197258
8 200010
9 19879
10 19966
11 19906
12 19843
13 20153
14 20173
15
Hypertriglyceridemia and lipid inclusions in a case of Philadelphia chromosome-positive, acute nonlymphocytic leukemia.
19861
16 19781
17 20220
18 20250

About Daniel Ladd

Daniel Ladd is a scholar working on Hematology, Emergency Medicine, Molecular Biology, Cellular and Molecular Neuroscience and Oncology, having authored 18 papers that have together received 992 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (2 papers), Hematological disorders and diagnostics (2 papers), Hepatitis C virus research (2 papers), Erythrocyte Function and Pathophysiology (2 papers), Blood groups and transfusion (2 papers), Platelet Disorders and Treatments (2 papers), Signaling Pathways in Disease (1 paper) and Nerve injury and regeneration (1 paper). The work is most often cited by research in Nephrology (286 citations), Hematology (127 citations), Biochemistry (63 citations), Nutrition and Dietetics (119 citations) and Immunology (140 citations). Daniel Ladd has collaborated with scholars based in United States and Germany. Frequent co-authors include Christine E. Seidman, Jonathan G. Seidman, David A. Conner, Henry B. Warren, Edward M. Brown, Olga Kifor, Martin R. Pollak, Jeffrey Zimmet, Katya Ravid and Paula E. Stenberg. Their work appears in journals such as Transfusion, The Journal of Experimental Medicine, Vox Sanguinis, Stem Cells and Nature Genetics.

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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