Robert G. Graw

2.3k citations
32 papers · 1.8k indexed · h-index 18

Impact in

  • Hematology top 2%
    • Hematopoietic Stem Cell Transplantation
  • Oncology top 5%
    • Neutropenia and Cancer Infections

Papers in

    • Hematopoietic Stem Cell Transplantation 9
    • Acute Myeloid Leukemia Research 3

Robert G. Graw

30 papers receiving 1.4k citations

Peers

Robert G. Graw
Comparison fields: 5 of 107
  • Hematology 545
  • Oncology 845
  • Emergency Medicine 213
  • Clinical Biochemistry 139
  • Parasitology 125
Replace T Masaoka with:
T Masaoka Japan
John C. Marsh United States
J M Goldman United Kingdom
Howard R. Bierman United States
Stefan Klein Germany
M Fotino United States
Ebbe Dickmeiss Denmark
Susanne Matthes‐Martin Austria
J R Hobbs United Kingdom
M. Tarek Elghetany United States
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Citations per field
00.5×10×12.5×
T Masaoka · 1×
Citations per year

Countries citing papers authored by Robert G. Graw

Since Specialization
Citations

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

Fields of papers citing papers by Robert G. Graw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert G. Graw. 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 Robert G. Graw. The network helps show where Robert G. Graw may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201418
2 1978114
3 19782
4 19788
5 1977231
6 19768
7 197625
8 19753
9 1974158
10 197436
11 19744
12 197482
13 19747
14 197310
15 1972252
16 1971157
17 19703
18 196911
19 19680
20 19674

About Robert G. Graw

Robert G. Graw is a scholar working on Hematology, Equine, Clinical Biochemistry, Dermatology and Emergency Medicine, having authored 32 papers that have together received 1.8k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (9 papers), Neutropenia and Cancer Infections (8 papers), Acute Lymphoblastic Leukemia research (4 papers), Acute Myeloid Leukemia Research (3 papers), Blood disorders and treatments (3 papers), Bacterial Identification and Susceptibility Testing (3 papers), Immune Response and Inflammation (3 papers) and Hematological disorders and diagnostics (3 papers). The work is most often cited by research in Hematology (545 citations), Oncology (845 citations), Emergency Medicine (213 citations), Clinical Biochemistry (139 citations) and Parasitology (125 citations). Robert G. Graw has collaborated with scholars based in United States, Malaysia and India. Frequent co-authors include Geoffrey P. Herzig, Seymour Perry, Hans‐Peter Lohrmann, Edward S. Henderson, Ligita Novikovs, David C. Dale, Malcolm I. Bull, Roger H. Herzig, C. Elizabeth Shaaban and Richard K. Root. Their work appears in journals such as Blood, Cancer, Transplantation, The Journal of Experimental Medicine and Nature.

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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