K.G. Patterson

1.6k citations
28 papers · 1.2k indexed · h-index 12

Impact in

Papers in

    • Acute Myeloid Leukemia Research 6
    • Chronic Lymphocytic Leukemia Research 3
    • Myeloproliferative Neoplasms: Diagnosis and Treatment 3

K.G. Patterson

28 papers receiving 1.1k citations

Peers

K.G. Patterson
Comparison fields: 5 of 103
  • Hematology 277
  • Reproductive Medicine 122
  • Oncology 304
  • Rheumatology 159
  • Pulmonary and Respiratory Medicine 345
Replace Perikala V. Kumar with:
Perikala V. Kumar Iran
Giovanni Battista Meloni Italy
Arkadi M. Rywlin United States
A. Le Tourneau France
D. B. Amos United States
Boris Tartakovsky Israel
Hwan‐Jung Yun South Korea
Cindy McGrath United States
Ricardo Drut Argentina
G. J. A. Clunie Australia
K.G. Patterson relative to Perikala V. Kumar Iran Perikala V. Kumar's profile →
Citations per field
00.5×3.6×
Perikala V. Kumar · 1×
Citations per year

Countries citing papers authored by K.G. Patterson

Since Specialization
Citations

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

Fields of papers citing papers by K.G. Patterson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20084
2 20078
3 20051
4 20009
5 19985
6 199618
7 199634
8 1995299
9 19937
10 19921
11 199255
12 199179
13 198911
14
GM-CSF accelerates neutrophil recovery after autologous bone marrow transplantation for Hodgkin's disease.
198964
15 19885
16 19821
17 198211
18 19816
19 19812
20 19802

About K.G. Patterson

K.G. Patterson is a scholar working on Hematology, Genetics, Emergency Medicine, Rheumatology and Oncology, having authored 28 papers that have together received 1.2k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (6 papers), Hematological disorders and diagnostics (5 papers), Neutropenia and Cancer Infections (4 papers), Clinical Laboratory Practices and Quality Control (4 papers), Lymphoma Diagnosis and Treatment (4 papers), Chronic Lymphocytic Leukemia Research (3 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers) and Systemic Lupus Erythematosus Research (3 papers). The work is most often cited by research in Hematology (277 citations), Reproductive Medicine (122 citations), Oncology (304 citations), Rheumatology (159 citations) and Pulmonary and Respiratory Medicine (345 citations). K.G. Patterson has collaborated with scholars based in United Kingdom, United States and Jamaica. Frequent co-authors include Frederick R. Eilber, James E. Goodnight, A. E. Giuliano, J J Eckardt, Anthony H. Goldstone, Richard S. Tedder, A Fielding, J Heptonstall, David J. Irwin and A E Hawkins. Their work appears in journals such as British Journal of Haematology, Journal of Clinical Pathology, Journal of Clinical Oncology, Blood Reviews and Bone Marrow Transplantation.

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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