Mark Nesbit

1.0k citations
28 papers · 771 indexed · h-index 14

Mark Nesbit

28 papers receiving 700 citations

Peers

Mark Nesbit
Comparison fields: 5 of 68
  • Hematology 245
  • Genetics 125
  • Pediatrics, Perinatology and Child Health 165
  • Public Health, Environmental and Occupational Health 239
  • Neurology 96
Replace G Paolucci with:
G Paolucci Italy
FP Li United States
M E Nesbit United States
D. Harms Germany
AA Bartolucci United States
Yasunori Toyoda Japan
Merlın Hamre United States
C Bayle France
Robert E. Hittle United States
P Rosito Italy
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Citations per field
00.5×1.5×
G Paolucci · 1×
Citations per year

Countries citing papers authored by Mark Nesbit

Since Specialization
Citations

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

Fields of papers citing papers by Mark Nesbit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20192
2
A new Mel-CAM (CD146)-specific monoclonal antibody, MN-4, on paraffin-embedded tissue.
199875
3 1993123
4 19904
5 199010
6 198831
7 198826
8 198549
9 198536
10 1985120
11
Childhood leukemia-lymphoma. Heterogeneity of phenotypes and prognoses.
197926
12 19791
13
High dose methotrexate (MTX) hepatotoxicity: Significance of frequency of administration
19796
14 19782
15 197867
16 19771
17 197744
18
Vinblastine, procarbazine, and cytosine arabinoside in combination for reinduction of childhood acute myelocytic leukemia.
19762
19 196910
20
Evaluation of mitomycin C (NSC-26980) in the treatment of metastatic osteogenic sarcoma.
196911

About Mark Nesbit

Mark Nesbit is a scholar working on Hematology, Genetics and Public Health, Environmental and Occupational Health, having authored 28 papers that have together received 771 indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (8 papers), Sarcoma Diagnosis and Treatment (6 papers), Bone Tumor Diagnosis and Treatments (4 papers), Hematopoietic Stem Cell Transplantation (4 papers), Management of metastatic bone disease (4 papers), Acute Myeloid Leukemia Research (3 papers), Childhood Cancer Survivors' Quality of Life (3 papers) and Glioma Diagnosis and Treatment (2 papers). The work is most often cited by research in Hematology (245 citations), Genetics (125 citations) and Pediatrics, Perinatology and Child Health (165 citations). Mark Nesbit has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Louis P. Dehner, Robert E. Haselow, Seymour H. Levitt, I.-M. Shih, Meenhard Herlyn, R. J. Kurman, N. K. C. Ramsay, Peter F. Coccia, Tucker W. LeBien and Leslie Robison. Their work appears in journals such as Cancer, International Journal of Radiation Oncology*Biology*Physics, The Journal of Pediatrics, British Journal of Haematology and Journal of Pediatric Hematology/Oncology.

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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